John Oommen
#94,324
Most Influential Person Now
Indian engineer
John Oommen's AcademicInfluence.com Rankings
John Oommenengineering Degrees
Engineering
#4165
World Rank
#5337
Historical Rank
Applied Physics
#1855
World Rank
#1887
Historical Rank
Download Badge
Engineering
Why Is John Oommen Influential?
(Suggest an Edit or Addition)According to Wikipedia, Basantkumar John Oommen is an Indian-Canadian computer scientist. Oommen received the Master of Science degree from the Indian Institute of Science, Bangalore in 1979, and the Doctor of Philosophy degree from Purdue University in 1982, and is now Chancellor's Professor at the School of Computer Science, Carleton University.
John Oommen's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case (1987) (166)
- Discretized pursuit learning automata (1990) (154)
- Generalized pursuit learning schemes: new families of continuous and discretized learning automata (2002) (153)
- Continuous and discretized pursuit learning schemes: various algorithms and their comparison (2001) (144)
- Deterministic Learning Automata Solutions to the Equipartitioning Problem (1988) (129)
- Graph Partitioning Using Learning Automata (1996) (122)
- Random Early Detection for Congestion Avoidance in Wired Networks: A Discretized Pursuit Learning-Automata-Like Solution (2010) (122)
- Continuous Learning Automata Solutions to the Capacity Assignment Problem (2000) (109)
- Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation (2007) (106)
- The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem (1999) (105)
- Discretized estimator learning automata (1992) (93)
- A brief taxonomy and ranking of creative prototype reduction schemes (2003) (88)
- Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments (2006) (85)
- Dynamic algorithms for the shortest path routing problem: learning automata-based solutions (2005) (83)
- Stochastic searching on the line and its applications to parameter learning in nonlinear optimization (1997) (80)
- Ε-optimal Discretized Linear Reward-penalty Learning Automata (1988) (64)
- The asymptotic optimality of discretized linear reward-inaction learning automata (1984) (59)
- Recognition of Noisy Subsequences Using Constrained Edit Distances (1987) (57)
- Enhancing prototype reduction schemes with LVQ3-type algorithms (2003) (57)
- Constrained string editing (1986) (56)
- Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata (2010) (54)
- On terrain acquisition by a point robot amidst polyhedral obstacles (1988) (54)
- An effective algorithm for string correction using generalized edit distances--I. Description of the algorithm and its optimality (1981) (52)
- Pattern recognition of strings with substitutions, insertions, deletions and generalized transpositions (1997) (51)
- Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach (2007) (49)
- GPSPA: a new adaptive algorithm for maintaining shortest path routing trees in stochastic networks (2004) (47)
- Service selection in stochastic environments: a learning-automaton based solution (2012) (47)
- Spelling correction using probabilistic methods (1984) (47)
- List Organizing Strategies Using Stochastic Move-to-Front and Stochastic Move-to-Rear Operations (1987) (42)
- Solving Multiconstraint Assignment Problems Using Learning Automata (2010) (40)
- Automata learning and intelligent tertiary searching for stochastic point location (1998) (40)
- Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets (2004) (40)
- Topology-oriented self-organizing maps: a survey (2014) (39)
- Cybernetics and Learning Automata (2009) (39)
- Modeling a Student–Classroom Interaction in a Tutorial-Like System Using Learning Automata (2010) (38)
- Parameter learning from stochastic teachers and stochastic compulsive liars (2006) (37)
- An efficient dynamic algorithm for maintaining all-pairs shortest paths in stochastic networks (2006) (37)
- String taxonomy using learning automata (1997) (36)
- Absorbing and Ergodic Discretized Two-Action Learning Automata (1986) (36)
- A Fault-Tolerant Routing Algorithm for Mobile Ad Hoc Networks Using a Stochastic Learning-Based Weak Estimation Procedure (2006) (35)
- Fault-tolerant routing in adversarial mobile ad hoc networks: an efficient route estimation scheme for non-stationary environments (2010) (34)
- An adaptive learning solution to the keyboard optimization problem (1991) (33)
- Modeling a Student's Behavior in a Tutorial-Like System Using Learning Automata (2010) (32)
- Anomaly Detection in Dynamic Systems Using Weak Estimators (2011) (32)
- On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata (2013) (31)
- The Noisy Substring Matching Problem (1983) (31)
- An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators (2012) (30)
- Stochastic Automata Solutions to the Object Partitioning Problem (1991) (29)
- Achieving Microaggregation for Secure Statistical Databases Using Fixed-Structure Partitioning-Based Learning Automata (2009) (29)
- A Kohonen-like decomposition method for the Euclidean traveling salesman problem-KNIES_DECOMPOSE (2003) (29)
- A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme (2014) (29)
- On Terrain Model Acquisition by a Point Robot Amidst Polyhedral Obstacles (1981) (28)
- A formal theory for optimal and information theoretic syntactic pattern recognition (1998) (28)
- On using prototype reduction schemes to optimize dissimilarity-based classification (2007) (28)
- The Normalized String Editing Problem Revisited (1996) (27)
- Goal-oriented optimal subset selection of correlated multimedia streams (2007) (27)
- Fast Learning Automaton-Based Image Examination and Retrieval (1993) (26)
- Fast object partitioning using Stochastic learning automata (1987) (26)
- On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case (2002) (26)
- On using prototype reduction schemes and classifier fusion strategies to optimize kernel-based nonlinear subspace methods (2003) (26)
- Discretized learning automata solutions to the capacity assignment problem for prioritized networks (2002) (25)
- Moment-Preserving Piecewise Linear Approximations of Signals and Images (1997) (25)
- The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria (2013) (25)
- A survey on statistical disclosure control and micro‐aggregation techniques for secure statistical databases (2010) (25)
- Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception (2007) (24)
- A formal analysis of why heuristic functions work (2005) (24)
- On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods (2004) (24)
- A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments (2011) (24)
- Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns (2013) (23)
- Fast, efficient and accurate solutions to the Hamiltonian path problem using neural approaches (2000) (23)
- Numerical Similarity and Dissimilarity Measures Between Two Trees (1996) (23)
- A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids (2018) (23)
- String Alignment with Substitution, Insertion, Deletion, Squashing and Expansion Operations (1995) (23)
- Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications (2007) (23)
- A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments (2008) (22)
- Stochastic Automata-Based Estimators for Adaptively Compressing Files With Nonstationary Distributions (2006) (22)
- Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem (2010) (22)
- On utilizing search methods to select subspace dimensions for kernel-based nonlinear subspace classifiers (2005) (21)
- Periodicity and stability issues of a chaotic pattern recognition neural network (2007) (21)
- Multiaction learning automata possessing ergodicity of the mean (1985) (20)
- A survey on statistical disclosure control and micro-aggregation techniques for secure statistical databases (2010) (20)
- On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis (2008) (20)
- A common basis for similarity measures involving two strings (1983) (20)
- Adaptive Structuring of Binary Search Trees Using Conditional Rotations (1993) (20)
- On using the chi-squared metric for determining stochastic dependence (1992) (19)
- Logistic Neural Networks: Their chaotic and pattern recognition properties (2014) (18)
- Recent advances in Learning Automata systems (2010) (18)
- Imposing tree-based topologies onto self organizing maps (2011) (18)
- Robot Navigation in Unknown Terrains of Convex Polygonal Obstacles Using Learned Visibility Graphs (1986) (17)
- A fast and efficient nearly-optimal adaptive Fano coding scheme (2006) (17)
- A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases (2006) (17)
- A Geometrical Approach to Polygonal Dissimilarity and Shape Matching (1982) (17)
- A fixed-structure learning automaton solution to the stochastic static mapping problem (2005) (17)
- A Learning Automaton Solution to the Stochastic Minimum-Spanning Circle Problem (1986) (16)
- A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions (2014) (16)
- Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning (2012) (16)
- Order statistics-based parametric classification for multi-dimensional distributions (2013) (16)
- Learning automata processing ergodicity of the mean: The two-action case (1983) (16)
- Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach (2016) (16)
- Modeling the “Learning Process” of the Teacher in a Tutorial-Like System Using Learning Automata (2013) (15)
- On achieving semi-supervised pattern recognition by utilizing tree-based SOMs (2013) (15)
- On simulating episodic events against a background of noise-like non-episodic events (2010) (15)
- A comparison of continuous and discretized pursuit learning schemes (1999) (15)
- Determining Optimal Polling Frequency Using a Learning Automata-based Solution to the Fractional Knapsack Problem (2006) (15)
- Breaking Substitution Cyphers Using Stochastic Automata (1993) (15)
- "Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family (2014) (14)
- An Efficient Geometric Solution to the Minimum Spanning Circle Problem (1987) (14)
- The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata (2011) (14)
- On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures (2009) (14)
- The Efficiency of Histogram-like Techniques for Database Query Optimization (2002) (14)
- A novel abstraction for swarm intelligence: particle field optimization (2017) (14)
- A formal approach to using data distributions for building causal polytree structures (2004) (13)
- Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata (2016) (12)
- On discretizing estimator-based learning algorithms (1991) (12)
- On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem (2006) (12)
- Generalized Swap-with-Parent Schemes for Self-Organizing Sequential Linear Lists (1997) (12)
- Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology (2009) (12)
- Spikes annihilation in the Hodgkin-Huxley neuron (2008) (12)
- A New Family of Weak Estimators for Training in Non-stationary Distributions (2004) (12)
- Deterministic Optimal and Expedient Move-to-Rear List Organizing Strategies (1990) (12)
- On optimizing firewall performance in dynamic networks by invoking a novel swapping window–based paradigm (2018) (12)
- Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network (2008) (12)
- Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes (2010) (12)
- An efficient pursuit automata approach for estimating stable all-pairs shortest paths in stochastic network environments (2009) (11)
- Learning Automata Based Intelligent Tutorial-like System (2009) (11)
- An effective algorithm for string correction using generalized edit distance - II. Computational complexity of the algorithm and some applications (1981) (11)
- Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem (2016) (11)
- On the optimal search problem: the case when the target distribution is unknown (1997) (11)
- Language Detection and Tracking in Multilingual Documents Using Weak Estimators (2010) (11)
- Optimal "Anti-Bayesian" Parametric Pattern Classification for the Exponential Family Using Order Statistics Criteria (2012) (11)
- Trajectory Planning of Robot Manipulators in Noisy Work Spaces Using Stochastic Automata (1991) (11)
- Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm (2016) (11)
- The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions (2020) (11)
- Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments (2016) (11)
- Similarity measures for sets of strings (1983) (11)
- On Applying Adaptive Data Structures to Multi-Player Game Playing (2013) (10)
- A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton (2020) (10)
- A nearly-optimal Fano-based coding algorithm (2004) (10)
- Stochastic Learning Automata-Based Dynamic Algorithms for the Single Source Shortest Path Problem (2004) (10)
- Modeling and simulating a disease outbreak by learning a contagion parameter-based model (2008) (10)
- A Kohonen-like Decomposition Method for the Traveling Salesman Problem: KNIESDECOMPOSE (2000) (10)
- On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata (2016) (10)
- Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach (2013) (10)
- On translating ellipses amidst elliptic obstacles (1986) (10)
- On Optimizing the k-Ward Micro-aggregation Technique for Secure Statistical Databases (2006) (10)
- A Novel Border Identification Algorithm Based on an "Anti-Bayesian" Paradigm (2013) (10)
- Query result size estimation using a novel histogram-like technique: the rectangular attribute cardinality map (1999) (9)
- On Enhancing Recent Multi-player Game Playing Strategies Using a Spectrum of Adaptive Data Structures (2013) (9)
- On generating random permutations with arbitrary distributions (1989) (9)
- On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps (2009) (9)
- On the Pattern Recognition of Noisy Subsequence Trees (2001) (9)
- Scale Preserving Smoothing of Polygons (1983) (9)
- On the classification of dynamical data streams using novel "Anti-Bayesian" techniques (2018) (9)
- Modeling a Domain in a Tutorial-like System Using Learning Automata (2010) (9)
- A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions (2009) (9)
- Self-Adjusting of Ternary Search Tries Using Conditional Rotations and Randomized Heuristics (2005) (9)
- Fault-Tolerant Routing in Mobile Ad Hoc Networks (2011) (9)
- Adaptive learning mechanisms for ordering actions using random races (1993) (9)
- Ultimate Order Statistics-Based Prototype Reduction Schemes (2013) (9)
- Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations (2015) (9)
- A Novel Framework for Self-Organizing Lists in Environments with Locality of Reference: Lists-on-Lists (2007) (9)
- An efficient pursuit automata approach for estimating stable all‐pairs shortest paths in stochastic network environments (2009) (9)
- Pattern recognition of strings containing traditional and generalized transposition errors (1995) (9)
- Dictionary-Based Syntactic Pattern Recognition Using Tries (2004) (9)
- On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments (2017) (9)
- Keyboard optimization using genetic techniques (1991) (9)
- Ergodic Learning Automata Capable of Incorporating a Priori Information (1987) (9)
- Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns (2010) (9)
- Novel AI Strategies for Multi-Player Games at Intermediate Board States (2015) (8)
- A Novel Method for Micro-Aggregation in Secure Statistical Databases Using Association and Interaction (2007) (8)
- On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton (2013) (8)
- A formal proof of the 𝜖-optimality of discretized pursuit algorithms (2016) (8)
- Epsilon-optimal discretized pursuit learning automata (1989) (8)
- Attribute cardinality maps: new query result size estimation techniques for database systems (1999) (8)
- Vector Quantization for Arbitrary Distance Function Estimation (1997) (8)
- On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth (2015) (8)
- On enhancing the object migration automaton using the Pursuit paradigm (2017) (8)
- Optimal and Information Theoretic Syntactic Pattern Recognition for Traditional Errors (1996) (8)
- On optimal pairwise linear classifiers for normal distributions: the d-dimensional case (2003) (8)
- On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions (2005) (8)
- On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases (2010) (8)
- Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem (2011) (8)
- On Using Learning Automata to Model a Student's Behavior in a Tutorial-like System (2007) (8)
- A novel Stochastic Discretized Weak Estimator operating in non-stationary environments (2012) (8)
- Novel Distance Estimation Methods Using “Stochastic Learning on the Line” Strategies (2018) (7)
- On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata (2018) (7)
- Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior (2012) (7)
- On playing games without knowing the rules (2001) (7)
- Towards a Learning Automata Solution to the Multi-Constraint Partitioning Problem (2006) (7)
- A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem (2012) (7)
- An Enhanced Tree-Shaped Adachi-Like Chaotic Neural Network Requiring Linear-Time Computations (2010) (7)
- Enhancing History-Based Move Ordering in Game Playing Using Adaptive Data Structures (2015) (6)
- Anomaly Detection in Dynamic Social Systems Using Weak Estimators (2009) (6)
- A Novel Self Organizing Map Which Utilizes Imposed Tree-Based Topologies (2009) (6)
- A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling (2009) (6)
- Self-Organizing Doubly-Linked Lists (1993) (6)
- The Use of Weak estimators to Achieve Language Detection and Tracking in Multilingual Documents (2013) (6)
- Designing syntactic pattern classifiers using vector quantization and parametric string editing (1999) (6)
- On the estimation of independent binomial random variables using occurrence and sequential information (2007) (6)
- A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors (2010) (6)
- On the problem of translating an elliptic object through a workspace of elliptic obstacles (1987) (6)
- Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games (2006) (6)
- Optimizing Self-organizing Lists-on-Lists Using Enhanced Object Partitioning (2019) (6)
- Discrete vector quantization for arbitrary distance function estimation (1998) (6)
- On optimizing syntactic pattern recognition using tries and AI-based heuristic-search strategies (2005) (6)
- Optimal "Anti-Bayesian" Parametric Pattern Classification Using Order Statistics Criteria (2012) (6)
- Breadth-first search strategies for trie-based syntactic pattern recognition (2007) (6)
- Determining stochastic dependence for normally distributed vectors using the chi-squared metric (1993) (6)
- A Stochastic Search on the Line-Based Solution to Discretized Estimation (2012) (6)
- A Fast Efficient Solution to the Capacity Assignment Problem Using Discretized Learning Automata (1998) (6)
- Estimation of distributions involving unobservable events: the case of optimal search with unknown Target Distributions (2009) (6)
- Corrigendum to three papers that deal with "Anti"-Bayesian Pattern Recognition [Pattern Recognition] (2014) (6)
- The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers (2000) (6)
- Prototype Validation of the Rectangular Attribute Cardinality Map for Query Optimization in Database Systems (1999) (5)
- Text Classification Using Novel "Anti-Bayesian" Techniques (2015) (5)
- Correction to "Recognition of Noisy Subsequences Using Constrained Edit Distances" (1988) (5)
- Space and depth-related enhancements of the history-ADS strategy in game playing (2015) (5)
- Networking logistic neurons can yield chaotic and pattern recognition properties (2011) (5)
- Mixture decomposition for distributions from the exponential family using a generalized method of moments (1995) (5)
- On the Online Classification of Data Streams Using Weak Estimators (2016) (5)
- A Short Note on Doubly-Linked List Reorganizing Heuristics (1992) (5)
- A novel look-ahead optimization strategy for trie-based approximate string matching (2006) (5)
- A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search (2017) (5)
- SEATER: An Object-Oriented Simulation Environment Using Learning Automata for Telephone Traffic Routing (1994) (5)
- Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms (2014) (5)
- Learning Automata-Based Solutions to the Single Elevator Problem (2019) (5)
- The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network (2012) (5)
- Generalized TSE: a new generalized estimator based learning automaton (2004) (5)
- On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes (2006) (4)
- Optimizing Self-organizing Lists-on-Lists Using Pursuit-Oriented Enhanced Object Partitioning (2019) (4)
- Particle Field Optimization: A New Paradigm for Swarm Intelligence (2015) (4)
- Constrained Tree Editing (1994) (4)
- Lists on Lists: A Framework for Self-organizing Lists in Environments with Locality of Reference (2006) (4)
- Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans (2020) (4)
- A Learning Automata Based Solution to Service Selection in Stochastic Environments (2010) (4)
- On the Pattern Recognition and Classification of Stochastically Episodic Events (2012) (4)
- On How to Learn from a Stochastic Teacher or a Stochastic Compulsive Liar of Unknown Identity (2003) (4)
- On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases (2013) (4)
- The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality (2017) (4)
- Greedy adaptive Fano coding (2002) (4)
- On the Cryptanalysis of Two Cryptographic Algorithms That Utilize Chaotic Neural Networks (2015) (4)
- On Utilizing the Pursuit Paradigm to Enhance the Deadlock-Preventing Object Migration Automaton (2017) (4)
- An Application of a Game of Discrete Generalised Pursuit Automata to Solve a Multi-Constraint Partitioning Problem (2006) (4)
- Pattern classification using a new border identification paradigm: The nearest border technique (2015) (4)
- Recognizing Sources of Random Strings (1991) (4)
- Creative prototype reduction schemes: a taxonomy and ranking (2002) (4)
- On the Analysis of a Random Interleaving Walk–Jump Process with Applications to Testing (2011) (4)
- Using learning automata to model the behavior of a teacher in a tutorial-like system (2007) (4)
- Adaptive linear list reorganization under a generalized query system (1995) (4)
- Enhancing Micro-Aggregation Technique by Utilizing Dependence-Based Information in Secure Statistical Databases (2008) (4)
- Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties (2013) (4)
- A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks (2014) (4)
- New algorithms for maintaining all-pairs shortest paths (2005) (4)
- Peptide classification using optimal and information theoretic syntactic modeling (2010) (4)
- On the analysis of a random walk-jump chain with tree-based transitions and its applications to faulty dichotomous search (2018) (4)
- "Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids (2016) (4)
- Solving the Travelling Salesman Problem using the Kohonen Network Incorporating Explicit Statistics (1999) (4)
- Stochastic Learning-based Weak Estimation and Its Applications (2011) (4)
- An Optimal Absorbing List Organization Strategy with Constant Memory Requirements (1993) (4)
- Achieving Unbounded Resolution in Finite Player Goore Games Using Stochastic Automata, and Its Applications (2012) (4)
- Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers (2021) (4)
- A New Frontier in Novelty Detection: Pattern Recognition of Stochastically Episodic Events (2011) (3)
- An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-aggregation (2008) (3)
- A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering (2006) (3)
- On using parametric string distances and vector quantization in designing syntactic pattern recognition systems (1997) (3)
- Using Artificial Intelligence Techniques for Strategy Generation in the Commons Game (2011) (3)
- On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm (2019) (3)
- Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm (2018) (3)
- User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution (2020) (3)
- Switching models for nonstationary random environments (1995) (3)
- Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods (2017) (3)
- Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm (2020) (3)
- Epsilon-optimal stubborn learning mechanisms (1990) (3)
- Noisy Subsequence Recognition Using Constrained String Editing Involving Substitutions, Insertions, Deletions and Generalized Transpositions (1995) (3)
- Using learning automata to model a student-classroom interaction in a tutorial-like system (2007) (3)
- An Empirical Comparison of Histogram-Like Techniques for Query Optimization (2000) (3)
- A fast learning automaton solution to the keyboard optimization problem (1990) (3)
- Prototype Validation of the Trapezoidal Attribute Cardinality Map for Query Optimization in Database Systems (2000) (3)
- Query result size estimation using the Trapezoidal Attribute Cardinality Map (2000) (3)
- Prototype reduction schemes applicable for non-stationary data sets (2006) (3)
- PATTERN RECOGNITION WITH STRINGS, SUBSTRINGS AND BOUNDARIES (1982) (3)
- GPSPA: a new adaptive algorithm for maintaining shortest path routing trees in stochastic networks: Research Articles (2004) (3)
- Using Learning Automata to Model a Domain in a Tutorial-Like System (2007) (3)
- An adaptive learning-like solution of random early detection for congestion avoidance in computer networks (2009) (3)
- Arbitrary distance function estimation using vector quantization (1995) (3)
- Enhanced static Fano coding (2001) (3)
- On using stochastic automata for trajectory planning of robot manipulators in noisy workspaces (1988) (3)
- On using novel “Anti-Bayesian” techniques for the classification of dynamical data streams (2017) (2)
- Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme (2017) (2)
- Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information (2017) (2)
- Adaptive Algorithms for Routing and Traffic Engineering in Stochastic Networks (2004) (2)
- A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling (2008) (2)
- Potential AI Strategies to Solve the Commons Game: A Position Paper (2010) (2)
- Efficient Adaptive Data Compression Using Fano Binary Search Trees (2005) (2)
- Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks (2014) (2)
- On utilizing weak estimators to achieve the online classification of data streams (2019) (2)
- Using learning automata to model the “learning process” of the teacher in a tutorial-like system (2007) (2)
- On the problem of multiple mobile robots cluttering a workspace (1992) (2)
- On Using Conditional Rotation Operations to Adaptively Structure Binary Search Trees (1988) (2)
- Enhanced layered segment trees: a pragmatic data structure for real-time processing of geometric objects (2002) (2)
- A new histogram method for sparse attributes: the averaged rectangular attribute cardinality map (2003) (2)
- Benchmarking attribute cardinality maps for database systems using the TPC-D specifications (2003) (2)
- Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games (2018) (2)
- Fast BMU Search in SOMs Using Random Hyperplane Trees (2014) (2)
- Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies (2005) (2)
- Semi-Supervised Classification Using Tree-Based Self-Organizing Maps (2011) (2)
- A Formalism for Building Causal Polytree Structures Using Data Distributions (2000) (2)
- On Achieving History-Based Move Ordering in Adversarial Board Games Using Adaptive Data Structures (2016) (2)
- Generalizing Singly-Linked List Reorganizing Heuristics for Doubly-Linked Lists (1989) (2)
- Partitioning in signal processing using the object migration automaton and the pursuit paradigm (2017) (2)
- The Theory and Applications of the Stochastic Point Location Problem (2017) (2)
- AI-Based Syntactic Pattern Recognition of Sequences Inventors (2005) (2)
- On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data (2004) (2)
- User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution (2022) (2)
- Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers (2016) (2)
- Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations (2003) (2)
- Ideal Chaotic Pattern Recognition Using the Modified Adachi Neural Network (2012) (2)
- Expedient Stochastic Move-to-Front and optimal Move-to-Rear List Organizing Strategies (1986) (1)
- Learning Automata-based Solutions to the Optimal Web (2011) (1)
- Transforming Ill-Conditioned Constrained Problems using Projections (1993) (1)
- On the Foundations of Multinomial Sequence Based Estimation (2016) (1)
- NOISY SUBSEQUENCE RECOGNITION USING CONSTRAINED STRING EDITING INVOLVING ARBITRARY OPERATIONS* (1994) (1)
- Solving Stochastic Root-Finding with adaptive d-ary search (2015) (1)
- Challenging state-of-the-art move ordering with Adaptive Data Structures (2017) (1)
- On using prototype reduction schemes to optimize locally linear reconstruction methods (2012) (1)
- A Higher-Fidelity Frugal Quantile Estimator (2017) (1)
- On batch scheduled multiple mobile robots cluttering a workspace (1987) (1)
- A Cluster Analysis of Stock Market Data Using Hierarchical SOMs (2016) (1)
- The Noisy Subsequence Tree Recognition Problem (1998) (1)
- On solving single elevator-like problems using a learning automata-based paradigm (2020) (1)
- Neural Network-Based Chaotic Pattern Recognition - Part 2: Stability and Algorithmic Issues (2005) (1)
- Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes (2021) (1)
- On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases (2011) (1)
- Enhancing Data Retrieval using Artificially synthesized Queries (1992) (1)
- Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems (2011) (1)
- New absorbing and ergodic doubly-linked list reorganizing heuristics (1992) (1)
- A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm (2015) (1)
- A formal proof of the 𝜖-optimality of discretized pursuit algorithms (2015) (1)
- Nonparametric “anti-Bayesian” quantile-based pattern classification (2020) (1)
- On using conditional rotations and randomized heuristics for self-organizing ternary search tries (2005) (1)
- On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes (2006) (1)
- A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes (2008) (1)
- Recursive Prototype Reduction Schemes Applicable for Large Data Sets (2002) (1)
- Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes (2002) (1)
- On Using Learning Automata for Fast Graph Partitioning (1995) (1)
- A new approach to adaptive encoding data using self-organizing data structures (2007) (1)
- Adaptive Linear List Reorganization for a System Processing Set Queries (1991) (1)
- Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning (2020) (1)
- Challenging Established Move Ordering Strategies with Adaptive Data Structures (2016) (1)
- Classification Error-Rate Estimation Using New Pseudo-Sample Bootstrap Methods (2003) (1)
- Modeling Inaccurate Perception: Desynchronization Issues of a Chaotic Pattern Recognition Neural Network (2005) (1)
- On Enhancing Query Optimization in the Oracle Database System by Utilizing Attribute Cardinality Maps (2006) (1)
- Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in General Games (2022) (1)
- A self-organizing method for map reconstruction (2003) (1)
- Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three (2016) (1)
- On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification (2009) (1)
- Stochastic Point Location in Non-stationary Environments and Its Applications (2007) (1)
- Chaotic and pattern recognition properties of a network of Logistic neurons (2010) (1)
- A New Paradigm for Pattern Classification: Nearest Border Techniques (2013) (1)
- Order Statistics-based “Anti-Bayesian“ Parametric Classification for Asymmetric Distributions in the Exponential Family (2012) (1)
- Learning Automata-Based Solutions to the Multi-Elevator Problem (2019) (1)
- Optimal Constant Space Move-to-Rear List Organization (1989) (1)
- An efficient compression scheme for data communication which uses a new family of self‐organizing binary search trees (2008) (1)
- SYMBOLIC CHANNEL MODELLING FOR NOISY CHANNELS WHICH PERMIT ARBITRARY NOISE DISTRIBUTIONS (2000) (1)
- Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach (2015) (1)
- Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games (2019) (0)
- An intelligent architecture for service provisioning in pervasive environments (2011) (0)
- Modeling a Teacher in a Tutorial-like System Using Learning Automata (2012) (0)
- On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak (2010) (0)
- Tracking the Preferences of Users Using Weak Estimators (2011) (0)
- On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata (2013) (0)
- Turning Lights Out with DQ-Learning (2006) (0)
- On the analysis of a new Markov chain which has applications in AI and machine learning (2011) (0)
- Text Classification Using "Anti"-Bayesian Quantile Statistics-Based Classifiers (2016) (0)
- On using distribution theory to prove the epsilon-optimality of stubborn learning mechanisms (1989) (0)
- On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm (2019) (0)
- Histogram methods in query optimization: the relation between accuracy and optimality (2001) (0)
- A novel abstraction for swarm intelligence: particle field optimization (2016) (0)
- Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning (2020) (0)
- A New Technique for Enhancing Linked-List Data Retrieval: Reorganize Data Using Artificially synthesized Queries (1994) (0)
- Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes (2023) (0)
- Stochastic Sorting Using Deterministic Consecutive and Leader Filters (2004) (0)
- A Fast Heuristic Solution for the Commons Game (2012) (0)
- Service selection in stochastic environments: a learning-automaton based solution (2011) (0)
- A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results (2022) (0)
- Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction (2008) (0)
- The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions (2018) (0)
- Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games (2016) (0)
- The Pursuit Automaton Approach for Estimating All-Pairs Shortest Paths in Dynamically Changing Networks (2007) (0)
- Classification of Multi-dimensional Distributions Using Order Statistics Criteria (2013) (0)
- On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods (2018) (0)
- On Benchmarking Attribute Cardinality Maps for Database Systems Using the TPC-D Specification (1999) (0)
- Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach (2022) (0)
- On the Pattern Recognition of Noisy (2001) (0)
- On utilizing the transitivity pursuit-enhanced object partitioning to optimize self-organizing lists-on-lists (2021) (0)
- Some Analysis on the Network of Bursting Neurons: Quantifying Behavioral Synchronization (2007) (0)
- The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality (2016) (0)
- Object partitioning using a hierarchy of stochastic automata (1990) (0)
- Arbitrary distance function estimation using discrete vector quantization (1997) (0)
- Emerging Trends in Machine Learning: Classification of Stochastically Episodic Events (2013) (0)
- On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments (2019) (0)
- Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation (2007) (0)
- Capsule Reviews Persistent Views—a Mechanism for Managing Ageing User Tracking and Mobility Management Algorithm for Wireless Networks. I. Kozatchok and S. Pierre (0)
- A New Geometric Tool for Pattern Recognition - An Algorithm for Real Time Insertion of Layered Segment Trees (2001) (0)
- A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions (2014) (0)
- Topology-oriented self-organizing maps: a survey (2014) (0)
- S TOCHASTIC S EARCHING ON THE L INE AND ITS A PPLICATIONS TO P ARAMETER L EARNING IN N ONLINEAR O PTIMIZATION (1995) (0)
- On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes (2010) (0)
- Chaotic Pattern Recognition Using the Adachi Neural Network Modified in a Small-World Way ⋆ (2014) (0)
- On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists (2020) (0)
- The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data (2019) (0)
- 17 Fault-Tolerant Routing in Mobile Ad Hoc Networks (2011) (0)
- Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets (2005) (0)
- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments (2017) (0)
- On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists (2020) (0)
- Numerical Similarity an Measures Between Two Trees (1996) (0)
- On Achieving Near-Optimal "Anti-Bayesian" Order Statistics-Based Classification for Asymmetric Exponential Distributions (2013) (0)
- Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation (2007) (0)
- On Solving the Capacity Assignment Problem Using Continous Learning Automata (1999) (0)
- The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. (2022) (0)
- A Look-Ahead Branch and Bound Pruning Scheme for Trie-Based Approximate String Matching (2005) (0)
- A GENERALIZED QUERY SYSTEM (1995) (0)
- Anomaly detection using weak estimators (2011) (0)
- A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes (2011) (0)
- On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables (2006) (0)
- Probabilistic syntactic pattern recognition for traditional and generalized transposition errors (1996) (0)
- Investigating schizophrenia using local connectivity considerations within the piriform cortex (2005) (0)
- Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions (2017) (0)
- Recent Results on Learning from Stochastic Teachers and Compulsive Liars/Con-Men (2004) (0)
- A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs (2020) (0)
- Computing the Vulnerable Phase in a 2D Discrete Model of the Hodgkin-Huxley Neuron (2008) (0)
- On the Existence and Heuristic Computation of the Solution for the Commons Game (2014) (0)
- Data generation for testing DAG-structured Bayesian networks (2002) (0)
- On solving single elevator-like problems using a learning automata-based paradigm (2020) (0)
- Generalized pursuit learning algorithms for shortest path routing tree computation (2004) (0)
- Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case (2001) (0)
- Chaotic Neural Networks with a \Small-World" Topology Can Achieve Pattern Recognition* (2014) (0)
- On modelling non-stationary random environments using switching techniques (1993) (0)
- M. A. L. Thathachar (1939-2017) (2017) (0)
- A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes (2021) (0)
- Nonparametric “anti-Bayesian” quantile-based pattern classification (2020) (0)
- Large scale modeling of the piriform cortex for analyzing antiepileptic effects (2008) (0)
- Challenging state-of-the-art move ordering with Adaptive Data Structures (2018) (0)
- Deterministic Majority filters applied to stochastic sorting (2004) (0)
- The object migration automata: its field, scope, applications, and future research challenges (2023) (0)
- Optimal and Information Theoretic Syntactic Pattern Recognition Involving Traditional and Transposition Errors (1996) (0)
- Algorithms for String Editing which Permit Arbitrarily Complex Editing Constraints (1984) (0)
- The Science and Art of Chaotic Pattern Recognition (2016) (0)
- Learning Automata with Artificial Reflecting Barriers in Games with Limited Information (2022) (0)
- Recognition ofNoisySubsequencesUsing Constrained EditDistances (1987) (0)
- Distance Bias Adjustment Bootstrap Estimation for Bhattacharyya Error Bound in Classifiers (2001) (0)
- The averaged mappings problem: statement, applications, and approximate solution (2006) (0)
- SEATER: a simulation environment using learning automata for telephone traffic routing (1992) (0)
- On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling (2014) (0)
- Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work (2002) (0)
- Pattern Recognition using the TTOCONROT (2015) (0)
- Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis (2020) (0)
- On the Differences Between Discretized and Continuous Stochastic Systems as Demonstrated by Learning Automata (2009) (0)
- On using random races in learning machines which rank actions in stochastic environments (1991) (0)
- On the Futility of Arbitrarily Increasing Memory Capabilities of Stochastic Learning Automata (1985) (0)
- GENERALIZING SINGLY-LINKED LIST REORGANIZING HEURISTICS (2005) (0)
- On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes (2002) (0)
- On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems (2007) (0)
- Chaotic Neural Networks with a Random Topology Can Achieve Pattern Recognition (2013) (0)
- On Designing Pattern Classifiers Using Artificially Created Bootstrap Samples (2004) (0)
- On Addressing the Challenges of Complex Stochastic Games Using "Representative" Moves (2018) (0)
- On Utilizing Attribute Cardinality Maps to Enhance Query Optimization in the Oracle Database System (2006) (0)
- IEEE TRANSACTIONS ® ON SYSTEMS, MAN, AND CYBERNETICS Editor-in-Chief (2009) (0)
- Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods (2004) (0)
- Estimation in Feedback Loops by Stochastic Learning (2007) (0)
- The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements (2022) (0)
- HE guest editors wish to thank all the reviewers who provided valuable evaluations and recommendations. Their names are listed below. (2002) (0)
- On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies (2011) (0)
- Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems (2009) (0)
- Encryption Possessing Statistical Perfect Secrecy and Stealth ∗ (2004) (0)
This paper list is powered by the following services:
Other Resources About John Oommen
What Schools Are Affiliated With John Oommen?
John Oommen is affiliated with the following schools:
