Vi Balachander Krishnamurthy
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Engineering Computer Science
Vi Balachander Krishnamurthy's Degrees
- PhD Electrical Engineering and Computer Science University of California, Berkeley
- Masters Electrical Engineering and Computer Science University of California, Berkeley
Why Is Vi Balachander Krishnamurthy Influential?
(Suggest an Edit or Addition)Vi Balachander Krishnamurthy'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
- Particle filters for state estimation of jump Markov linear systems (2001) (811)
- Algorithms for optimal scheduling and management of hidden Markov model sensors (2002) (272)
- On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure (1993) (264)
- Model reduction using the Routh stability criterion (1978) (242)
- Performance analysis of a dynamic programming track before detect algorithm (2002) (233)
- Decentralized dynamic spectrum access for cognitive radios: cooperative design of a non-cooperative game (2009) (192)
- Optimal Joint Session Admission Control in Integrated WLAN and CDMA Cellular Networks with Vertical Handoff (2007) (183)
- Expectation maximization algorithms for MAP estimation of jump Markov linear systems (1999) (181)
- An improvement to the interacting multiple model (IMM) algorithm (2001) (153)
- Stochastic sampling algorithms for state estimation of jump Markov linear systems (2000) (146)
- Structured Threshold Policies for Dynamic Sensor Scheduling—A Partially Observed Markov Decision Process Approach (2007) (144)
- Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking (2001) (142)
- Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach (2011) (139)
- Transmission Scheduling for Optimizing Sensor Network Lifetime: A Stochastic Shortest Path Approach (2007) (136)
- Regime Switching Stochastic Approximation Algorithms with Application to Adaptive Discrete Stochastic Optimization (2004) (121)
- New finite-dimensional filters for parameter estimation of discrete-time linear Gaussian models (1999) (120)
- Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing (2016) (117)
- Interference management using cognitive base-stations for UMTS LTE (2011) (116)
- MIMO Transmission Control in Fading Channels—A Constrained Markov Decision Process Formulation With Monotone Randomized Policies (2007) (103)
- Adaptive MIMO antenna selection via discrete stochastic optimization (2005) (98)
- Opportunistic file transfer over a fading channel: A POMDP search theory formulation with optimal threshold policies (2006) (92)
- Robust Meter Placement for State Estimation in Active Distribution Systems (2015) (92)
- Integrated Tracking, Classification, and Sensor Management (2013) (90)
- Recursive algorithms for estimation of hidden Markov models and autoregressive models with Markov regime (2002) (89)
- Integrated voice/data call admission control for wireless DS-CDMA systems (2002) (87)
- ${Q}$-Learning Algorithms for Constrained Markov Decision Processes With Randomized Monotone Policies: Application to MIMO Transmission Control (2007) (87)
- Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach (2017) (82)
- Cross-Layer optimal connection admission control for variable bit rate multimedia traffic in packet wireless CDMA networks (2004) (77)
- Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells: A Cooperative Game-Theoretic Approach (2013) (75)
- Decentralized Adaptive Filtering Algorithms for Sensor Activation in an Unattended Ground Sensor Network (2008) (75)
- On-line identification of hidden Markov models via recursive prediction error techniques (1994) (75)
- Social learning and bayesian games in multiagent signal processing: how do local and global decision makers interact? (2013) (74)
- Consistent Estimation of Linear and Non‐linear Autoregressive Models with Markov Regime (1998) (74)
- Distributed Energy-Aware Diffusion Least Mean Squares: Game-Theoretic Learning (2013) (73)
- Nonlinear filtering via generalized Edgeworth series and Gauss-Hermite quadrature (2000) (72)
- Spreading code optimization and adaptation in CDMA via discrete stochastic approximation (2004) (69)
- Time discretization of continuous-time filters and smoothers for HMM parameter estimation (1996) (66)
- Detection of Anomalous Trajectory Patterns in Target Tracking via Stochastic Context-Free Grammars and Reciprocal Process Models (2013) (65)
- Monotonicity of Constrained Optimal Transmission Policies in Correlated Fading Channels With ARQ (2010) (63)
- Bayesian Sequential Detection With Phase-Distributed Change Time and Nonlinear Penalty—A POMDP Lattice Programming Approach (2011) (62)
- Networked sensor management and data rate control for tracking maneuvering targets (2005) (62)
- A Tutorial on Interactive Sensing in Social Networks (2014) (61)
- Emission management for low probability intercept sensors in network centric warfare (2005) (61)
- Coalition Formation for Bearings-Only Localization in Sensor Networks—A Cooperative Game Approach (2010) (60)
- Quickest Detection POMDPs With Social Learning: Interaction of Local and Global Decision Makers (2010) (60)
- Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems (2001) (59)
- Amplify-and-Forward Cooperative Diversity Wireless Networks: Model, Analysis, and Monotonicity Properties (2009) (57)
- Optimal Threshold Policies for Multivariate POMDPs in Radar Resource Management (2009) (56)
- Exact Finite-Dimensional Filters for Maximum Likelihood Parameter Estimation of Continuous-time Linear Gaussian Systems (1997) (54)
- Optimality of threshold policies for transmission scheduling in correlated fading channels (2009) (53)
- Optimal Channel-Aware ALOHA Protocol for Random Access in WLANs With Multipacket Reception and Decentralized Channel State Information (2008) (52)
- Averaged stochastic gradient algorithms for adaptive blind multiuser detection in DS/CDMA systems (2000) (51)
- Hierarchical resource management in adaptive airborne surveillance radars (2006) (51)
- Game Theoretic Cross-Layer Transmission Policies in Multipacket Reception Wireless Networks (2007) (51)
- Deinterleaving pulse trains using discrete-time stochastic dynamic-linear models (1994) (51)
- Syntactic Modeling and Signal Processing of Multifunction Radars: A Stochastic Context-Free Grammar Approach (2007) (50)
- James-Stein state filtering algorithms (1998) (48)
- Application layer QoS optimization for multimedia transmission over cognitive radio networks (2011) (48)
- Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies (2010) (47)
- Partially Observed Markov Decision Process Multiarmed Bandits - Structural Results (2009) (45)
- Optimal sensor scheduling for hidden Markov model state estimation (2001) (44)
- Tuning radio resource in an overlay cognitive radio network for TCP: Greed isn't good (2009) (44)
- Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data (2017) (43)
- Game Theoretic Issues in Cognitive Radio Systems (Invited Paper) (2009) (41)
- Hidden Markov model state estimation with randomly delayed observations (1999) (40)
- Adaptive OFDM synchronization algorithms based on discrete stochastic approximation (2005) (38)
- Generalized Langevin models of molecular dynamics simulations with applications to ion channels. (2009) (38)
- Interactive Sensing and Decision Making in Social Networks (2014) (37)
- Ion-Channel Biosensors—Part I: Construction, Operation, and Clinical Studies (2010) (36)
- Signal Interpretation of Multifunction Radars: Modeling and Statistical Signal Processing With Stochastic Context Free Grammar (2008) (36)
- Estimating the dielectric constant of the channel protein and pore (2008) (35)
- A Bayesian EM algorithm for optimal tracking of a maneuvering target in clutter (2002) (35)
- Decentralized Spectrum Access Amongst Cognitive Radios—An Interacting Multivariate Global Game-Theoretic Approach (2009) (35)
- Least mean square algorithms with Markov regime-switching limit (2005) (34)
- Dynamic Resource Allocation for MGS H.264/AVC Video Transmission Over Link-Adaptive Networks (2009) (34)
- Opportunistic scheduling for streaming multimedia users in high-speed downlink packet access (HSDPA) (2006) (33)
- Stochastic gradient algorithms for design of minimum error-rate linear dispersion codes in MIMO wireless systems (2006) (33)
- Distributed Tracking of Correlated Equilibria in Regime Switching Noncooperative Games (2013) (33)
- How to Schedule Measurements of a Noisy Markov Chain in Decision Making? (2013) (32)
- Adaptive Caching in the YouTube Content Distribution Network: A Revealed Preference Game-Theoretic Learning Approach (2015) (32)
- Adaptive nonlinear filters for narrow-band interference suppression in spread-spectrum CDMA systems (1999) (31)
- The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case (2003) (31)
- Decentralized Activation in Dense Sensor Networks via Global Games (2008) (30)
- Friendship paradox biases perceptions in directed networks (2019) (30)
- Destination-aware target tracking via syntactic signal processing (2011) (29)
- Effective bandwidth of multimedia traffic in packet wireless CDMA networks with LMMSE receivers: a cross-layer perspective (2006) (29)
- Derivation of a sawtooth iterated extended Kalman smoother via the AECM algorithm (2001) (29)
- Optimality and Complexity of Opportunistic Spectrum Access: A Truncated Markov Decision Process Formulation (2007) (29)
- Hidden Markov models for radar pulse train analysis in electronic warfare (2005) (28)
- Large-Scale Dynamical Models and Estimation for Permeation in Biological Membrane Ion Channels (2007) (28)
- Blind equalization of IIR channels using hidden Markov models and extended least squares (1995) (28)
- Hidden Markov model signal processing in presence of unknown deterministic interferences (1991) (27)
- A cooperative game-theoretic measurement allocation algorithm for localization in unattended ground sensor networks (2008) (27)
- An interval-amplitude algorithm for deinterleaving stochastic pulse train sources (1998) (26)
- Iterate-averaging sign algorithms for adaptive filtering with applications to blind multiuser detection (2003) (26)
- Decentralized Activation in a ZigBee-enabled Unattended Ground Sensor Network: A Correlated Equilibrium Game Theoretic Analysis (2007) (25)
- Multitarget Tracking Using Multiple Hypothesis Tracking (2012) (25)
- Multi-function radar emitter modelling: a stochastic discrete event system approach (2003) (25)
- Nonparametric Demand Forecasting and Detection of Energy Aware Consumers (2015) (25)
- Channel Aware Multiuser Scalable Video Streaming Over Lossy Under-Provisioned Channels: Modeling and Analysis (2008) (25)
- Rate and Distortion Modeling of CGS Coded Scalable Video Content (2011) (24)
- Consensus Formation in a Two-Time-Scale Markovian System (2009) (24)
- On hidden fractal model signal processing (1991) (24)
- Finite-Dimensional Filters for Passive Tracking of Markov Jump Linear Systems (1998) (24)
- A Distributed Coalition Game Approach to Femto-Cloud Formation (2019) (23)
- Partially observed Markov decision processes (POMDPs) (2016) (23)
- Joint rate and cluster optimization in cooperative MIMO sensor networks (2005) (23)
- Implementation of gradient estimation to a constrained Markov decision problem (2003) (23)
- Intent Inference and Syntactic Tracking with GMTI Measurements (2011) (23)
- Optimal sensor scheduling for Hidden Markov models (1998) (23)
- A low complexity timing and frequency synchronization algorithm for OFDM systems (2002) (23)
- Estimation of Markov-modulated time-series via EM algorithm (1994) (22)
- Opportunistic scheduling for streaming users in high-speed downlink packet access (HSDPA) (2004) (22)
- Ion Channel Biosensors—Part II: Dynamic Modeling, Analysis, and Statistical Signal Processing (2010) (22)
- Correction to "Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking" (2003) (21)
- Optimal and Approximate Mobility-Assisted Opportunistic Scheduling in Cellular Networks (2006) (21)
- Iterative and recursive estimators for hidden Markov errors-in-variables models (1996) (21)
- “What Do Your Friends Think?”: Efficient Polling Methods for Networks Using Friendship Paradox (2018) (20)
- How to Calibrate Your Adversary's Capabilities? Inverse Filtering for Counter-Autonomous Systems (2019) (20)
- Afriat's Test for Detecting Malicious Agents (2012) (20)
- Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior (2019) (20)
- How does a stochastic optimization/approximation algorithm adapt to a randomly evolving optimum/root with jump Markov sample paths (2009) (20)
- Utility Change Point Detection in Online Social Media: A Revealed Preference Framework (2016) (20)
- Spatiotemporal trajectory models for metalevel target tracking (2015) (20)
- Tracking a Markov-Modulated Stationary Degree Distribution of a Dynamic Random Graph (2014) (20)
- Non-self-embedding context-free grammars for multi-function radar modeling - electronic warfare application (2005) (19)
- LMS algorithms for tracking slow Markov chains with applications to hidden Markov estimation and adaptive multiuser detection (2005) (19)
- Moment Based Regression Algorithms for Drift and Volatility Estimation in Continuous-Time Markov Switching Models (2008) (19)
- Filters for estimating Markov modulated poisson processes and image-based tracking (1997) (19)
- Estimation of quantized linear errors-in-variables models (1995) (19)
- Femto-Cloud Formation: A Coalitional Game-Theoretic Approach (2014) (19)
- Discrete time filters for doubly stochastic poisson processes and other exponential noise models (1999) (19)
- Multi-user scalable video transmission control in cognitive radio networks as a Markovian dynamic game (2009) (19)
- Myopic Bounds for Optimal Policy of POMDPs: An Extension of Lovejoy's Structural Results (2014) (18)
- Managing data incest in a distributed sensor network (2003) (18)
- Filterbased Stochastic Volatility in Continuous-Time Hidden Markov Models (2016) (18)
- Modeling of Loss-Distortion in Hierarchical Prediction Codecs (2006) (18)
- Optimal Data Incest Removal in Bayesian Decentralized Estimation Over a Sensor Network (2007) (18)
- Reconfigurable Bayesian networks for adaptive situation assessment in battlespace (2005) (18)
- Policy gradient stochastic approximation algorithms for adaptive control of constrained time varying Markov decision processes (2003) (18)
- A Dynamical Games Approach to Transmission-Rate Adaptation in Multimedia WLAN (2010) (18)
- Quickest Time Herding and Detection for Optimal Social Learning (2010) (18)
- Online Reputation and Polling Systems: Data Incest, Social Learning, and Revealed Preferences (2014) (17)
- A molecular machine biosensor: construction, predictive models and experimental studies. (2012) (17)
- Identifying Cognitive Radars - Inverse Reinforcement Learning Using Revealed Preferences (2019) (17)
- On-line estimation of dynamic shock-error models based on the Kullback Leibler information measure (1994) (17)
- Inverse Filtering for Hidden Markov Models (2017) (17)
- Optimal adaptive modulation and coding with switching costs (2009) (16)
- Game Theory for Networks (2012) (16)
- Decentralized algorithms for netcentric force protection against antiship missiles (2007) (16)
- Adaptive estimation of hidden nearly completely decomposable Markov chains (1994) (16)
- Finite dimensional algorithms for the hidden Markov model multi-armed bandit problem (1999) (16)
- Rate and distortion modeling of medium grain scalable video coding (2008) (16)
- Structural Results for Partially Observed Markov Decision Processes (2015) (15)
- Finite dimensional smoothers for MAP state estimation of bilinear systems (1999) (15)
- Discrete stochastic approximation algorithms for design of optimal sensor fusion rules (2007) (15)
- Structural Results on Optimal Transmission Scheduling over Dynamical Fading Channels: A Constrained Markov Decision Process Approach (2007) (15)
- Game Theoretic Learning and Pricing for Dynamic Spectrum Access in Cognitive Radio (2007) (15)
- A generalized Langevin algorithm for studying permeation across biological ion channels (2008) (15)
- Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks (2008) (15)
- A Methodology for Optimal Distributed Storage Planning in Smart Distribution Grids (2018) (15)
- Brownian dynamics theory for predicting internal and external blockages of tetraethylammonium in the KcsA potassium channel. (2008) (14)
- A Value Iteration Algorithm for Partially Observed Markov Decision Process Multi-armed Bandits (2004) (14)
- Structural Results on the Optimal Transmission Scheduling Policies and Costs for Correlated Sources and Channels (2005) (14)
- Brownian dynamics Simulation for modeling ion permeation across bionanotubes (2005) (14)
- Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems (2020) (14)
- Mis-Information Removal in Social Networks: Constrained Estimation on Dynamic Directed Acyclic Graphs (2013) (13)
- Performance analysis of a track before detect dynamic programming algorithm (2000) (13)
- Mobility Enhanced Smart Antenna Adaptive Sectoring for Uplink Capacity Maximization in Cdma Cellular Network (2006) (13)
- Syntactic Models for Trajectory Constrained Track-Before-Detect (2014) (13)
- Finite dimensional algorithms for optimal scheduling of hidden Markov model sensors (2001) (13)
- Separable Approximation for Solving the Sensor Subset Selection Problem (2011) (13)
- Exact finite-dimensional filters for doubly stochastic auto-regressive processes (1997) (13)
- Distributed correlated Q-learning for dynamic transmission control of sensor networks (2010) (13)
- Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions (2019) (12)
- Decentralized adaptation in sensor networks: Analysis and application of regret-based algorithms (2007) (12)
- Threat Estimation of Multifunction Radars: Modeling and Statistical Signal Processing of Stochastic Context Free Grammars (2007) (12)
- Efficient Radio Resource Management in Integrated WLAN/CDMA Mobile Networks (2005) (12)
- Adaptive Search Algorithms for Discrete Stochastic Optimization: A Smooth Best-Response Approach (2014) (12)
- Multiple Stopping Time POMDPs: Structural Results & Application in Interactive Advertising in Social Media (2017) (12)
- Real-time joint rate and protection allocation for multi-user scalable video streaming (2008) (12)
- Sequential Detection of Market Shocks With Risk-Averse CVaR Social Sensors (2016) (12)
- Intent inference via syntactic tracking (2011) (11)
- Stochastic Learning Algorithms for Adaptive Modulation (2006) (11)
- Transmission Scheduling for Sensor Network Lifetime Maximization: A Shortest Path Bandit Formulation (2006) (11)
- Joint media-channel aware unequal error protection for wireless scalable video streaming (2008) (11)
- Network-Enabled Missile Deflection: Games and Correlation Equilibrium (2007) (11)
- Sequential Detection With Mutual Information Stopping Cost (2011) (11)
- Engineering aspects of biological ion channels—from biosensors to computational models for permeation (2012) (11)
- Transmission control in cognitive radio systems with latency constraints as a switching control dynamic game (2008) (11)
- Channel Adaptive Multi-User Scalable Video Streaming with Unequal Erasure Protection (2007) (11)
- Conditional moment generating functions for integrals and stochastic integrals (1997) (10)
- Average-Consensus in a Deterministic Framework—Part I: Strong Connectivity (2012) (10)
- Inverse Filtering for Linear Gaussian State-Space Models (2018) (10)
- Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks (2018) (10)
- Dynamic Coalition Formation for Resource Allocation in Cognitive Radio Networks (2010) (10)
- Adaptive Brownian dynamics Simulation for estimating potential mean force in ion channel permeation (2006) (10)
- Self Learning Control of Constrained Markov Decision Processes - A Gradient Approach (2003) (10)
- A game theoretical approach for transmission strategies in slotted ALOHA networks with multi-packet reception (2005) (10)
- Influence Maximization Over Markovian Graphs: A Stochastic Optimization Approach (2017) (9)
- Biased model reduction by simplified Routh approximation method (1987) (9)
- Robust continuous-time smoothers without two-sided stochastic integrals (2002) (9)
- On Optimality of Monotone Channel-Aware Transmission Policies: A Constrained Markov Decision Process Approach (2007) (9)
- Policy Gradient using Weak Derivatives for Reinforcement Learning (2019) (9)
- Dynamic coalition formation for efficient sleep time allocation in wireless sensor networks using cooperative game theory (2009) (9)
- PAC Algorithms for Detecting Nash Equilibrium Play in Social Networks: From Twitter to Energy Markets (2016) (9)
- Gramicidin Ion Channel-Based Biosensors: Construction, Stochastic Dynamical Models, and Statistical Detection Algorithms (2007) (9)
- Decentralized Node Selection for Localization in Wireless Unattended Ground Sensor Networks (2008) (9)
- Engagement dynamics and sensitivity analysis of YouTube videos (2016) (9)
- Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds (2016) (9)
- Godard blind equalizer misbehavior with correlated sources : two examples (1993) (9)
- Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling (2019) (9)
- Threat Estimation by Electronic Surveillance of Multifunction Radars: A Stochastic Context Free Grammar Approach (2006) (9)
- Quickest detection of market shocks in agent based models of the order book (2012) (8)
- Reduced spatio-temporal complexity MMPP and image-based tracking filters for maneuvering targets (2003) (8)
- Recursive Prediction Error Techniques for Adaptive Estimation of Hidden Markov Models (1993) (8)
- Bayesian network model for data incest in a distributed sensor network (2004) (8)
- De-interleaving Pulse Trains using Discrete-time Stochastic Dynamic-Linear Models (1994) (8)
- Stochastic learning algorithms for adaptive modulation (2005) (8)
- Permeation in Gramicidin Ion Channels by Directly Estimating the Potential of Mean Force Using Brownian Dynamics Simulations (2006) (8)
- Reduced Complexity HMM Filtering With Stochastic Dominance Bounds: A Convex Optimization Approach (2014) (8)
- Explainable AI Framework for Imaging-Based Predictive Maintenance for Automotive Applications and Beyond (2020) (8)
- Sequential simulation-based estimation of jump Markov linear systems (2000) (8)
- Decentralized activation in sensor networks - global games and adaptive filtering games (2011) (8)
- Convex Stochastic Dominance in Bayesian Localization, Filtering, and Controlled Sensing POMDPs (2019) (8)
- Estimation of noisy quantized Gaussian AR time-series with randomly varying observation coefficient (1995) (7)
- Consensus formation in a switched Markovian dynamical system (2008) (7)
- Self learning control of constrained Markov chains - a gradient approach (2002) (7)
- Emergence of Structural Inequalities in Scientific Citation Networks (2021) (7)
- A graph theoretic approach to data incest management in network centric warfare (2005) (7)
- Sensor Adaptive Target Tracking over Variable Bandwidth Networks (2001) (7)
- Rule-based programming paradigm: a formal basis for biological, chemical and physical computation. (1999) (7)
- Adaptive learning algorithms for Nernst potential and I-V curves in nerve cell membrane ion channels modeled as hidden Markov models (2003) (7)
- Information Diffusion in Social Networks: Friendship Paradox based Models and Statistical Inference (2018) (7)
- Quick aggregation of Markov chain functionals via stochastic complementation (1997) (7)
- V-BLAST Power and Rate Control under Delay Constraints in Markovian Fading Channels - Optimality of Monotonic Policies (2006) (6)
- Sequential paging of mobile users in GSM cellular networks-a POMDP approach (2000) (6)
- A method for constructing the observer trajectory in bearings-only tracking of targets with a Markovian model (2005) (6)
- Asymptotic analysis of an algorithm for parameter estimation and identification of 1-b quantized AR time series (1996) (6)
- Hidden Markov model algorithms for narrowband interference suppression in CDMA spread spectrum systems (1999) (6)
- When to look at a noisy Markov chain in sequential decision making if measurements are costly? (2012) (6)
- Signal Processing Based on Hidden Markov Models for Extracting Small Channel Currents (2007) (6)
- Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference (2020) (6)
- Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization (2015) (6)
- Exact Finite Dimensional Filters for Exponential Functional of the State (1999) (6)
- Syntactic Enhancement to VSIMM for Roadmap Based Anomalous Trajectory Detection: A Natural Language Processing Approach (2016) (6)
- Real-Time Reinforcement Learning of Constrained Markov Decision Processes with Weak Derivatives. (2011) (6)
- Reconfigurable Bayesian Networks for Hierarchical Multi-Stage Situation Assessment in Battlespace (2005) (6)
- Application of Mechanism Design in Opportunistic Scheduling under Cognitive Radio Systems (2009) (6)
- State-space models using simplified Routh approximation method (1987) (6)
- A Comparison of Opportunistic Scheduling Algorithms for Streaming Media in High-Speed Downlink Packet Access (HSDPA) (2004) (5)
- Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems (2006) (5)
- Stochastic Approximation Based Tracking of Correlated Equilibria for Game-Theoretic Reconfigurable Sensor Network Deployment (2006) (5)
- Bayesian Sequential Detection with Phase-Distributed Change Time and Nonlinear Penalty -- A POMDP Approach (2010) (5)
- Adaptive spreading code optimization in multiantenna multipath fading channels in CDMA (2003) (5)
- How Can a Cognitive Radar Mask its Cognition? (2021) (5)
- Blind On-Line Testing for Equalization Errors in Digital Communication Systems (1998) (5)
- Detection-aided recursive least squares adaptive multiuser detection in DS/CDMA (2002) (5)
- Interference Diversity Gain and its Application in Multi-Channel Systems: Capacity Maximization and QoS Guarantee Strategies (2011) (5)
- Opportunistic Advertisement Scheduling in Live Social Media: A Multiple Stopping Time POMDP Approach (2016) (5)
- Computing monotone policies for Markov decision processes by exploiting sparsity (2013) (5)
- Truth reveling opportunistic scheduling in cognitive radio systems (2009) (5)
- Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems (2020) (5)
- Particle Filtering Combined with Interval Methods for Tracking Applications (2012) (5)
- Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models (2017) (5)
- Self learning call admission control for multimedia wireless DS-CDMA systems (2002) (5)
- Flight Mechanical Modelling considering Flexibility and Flight Control Functions in Preliminary Aircraft Design (2017) (5)
- Optimal estimation of Poisson rate from discrete time observations (1997) (5)
- Optimality of threshold transmission policies in Gilbert Elliott fading channels (2003) (5)
- Finite dimensional filters for maximum likelihood estimation of continuous-time linear Gaussian systems (1997) (5)
- Quantum Field Theory and Computational Paradigms (2001) (5)
- What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems (2019) (5)
- Detection of Homophilic Communities and Coordination of Interacting Meta-Agents: A Game-Theoretic Viewpoint (2016) (5)
- Exact filters for doubly stochastic AR models with conditionally Poisson observations (1999) (5)
- Online Bayesian activity detection in DS/CDMA networks (2005) (5)
- An Adaptive Situation Assessment Based Decision Making System (2006) (5)
- Signal Processing Theory and Methods [In the Spotlight] (2011) (5)
- Information Diffusion in Social Sensing (2014) (5)
- A reduced-complexity online state sequence and parameter estimator for superimposed convolutional coded signals (1997) (5)
- Identification of hidden Markov models using spectral learning with likelihood maximization (2017) (4)
- Removal of Data Incest in Multi-agent Social Learning in Social Networks (2013) (4)
- Stochastic Adaptive Multilevel Waterfilling in MIMO-OFDM WLANs (2005) (4)
- Application of extreme value theory to level estimation in nonlinearly distorted hidden Markov models (2000) (4)
- Tracking the Empirical Distribution of a Markov-modulated Duplication-Deletion Random Graph (2013) (4)
- Sensor scheduling with active and image-based sensors for maneuvering targets (2003) (4)
- Minimum Energy Data Gathering in Correlated Sensor Networks with Cooperative Transmission (2007) (4)
- Dynamic Modeling of Antimicrobial Pore Formation in Engineered Tethered Membranes (2015) (4)
- Quickest Detection with Social Learning: Interaction of local and global decision makers (2010) (4)
- Gradient Based Policy Optimization of Constrained Markov Decision Processes (2011) (4)
- Multiple Surface-Based Biosensors for Enhanced Molecular Detection in Fluid Flow Systems (2013) (4)
- Average-consensus with switched Markovian network links (2009) (4)
- Deinterleaving Pulse Trains Using Discrete-Time (1994) (4)
- Game Theoretic Activation and Transmission Scheduling in Unattended Ground Sensor Networks: A Correlated Equilibrium Approach (2007) (4)
- Upper bounds for the sensor subset selection problem (2009) (4)
- Biologically inspired rule-based multiset programming paradigm for soft-computing (2004) (4)
- Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms (2020) (4)
- A Technical Revolution: Social Learning and Networking [From the Guest Editors] (2012) (4)
- Game Theoretic Optimal Transmission Strategies in Multipacket Reception Sensor Networks (2005) (4)
- Exact filters for certain moments and stochastic integrals of the state of systems with Benes nonlinearity (1999) (4)
- Optimal Power and Retransmission Control Policies over Fading Channels with Packet Drop Penalty Costs (2008) (4)
- Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation (2022) (4)
- Inverse Sequential Hypothesis Testing (2020) (4)
- Chemical kinetics and mass transport in an ion channel based biosensor (2010) (4)
- Biosensor Arrays for Estimating Molecular Concentration in Fluid Flows (2011) (4)
- Meta level tracking with multimode space-time adaptive processing of GMTI data (2009) (4)
- Optimal Threshold Policies for Hard-Kill of Enemy Radars With High Speed Anti-Radiation Missiles (HARMS) (2006) (4)
- On prolonging life-time in wireless sensor networks with application in localization: A coalitional game-theoretic approach (2010) (4)
- POMDP sensor scheduling with adaptive sampling (2014) (3)
- Spatio-temporal trajectory models for target tracking (2014) (3)
- A hidden Markov model-RPE algorithm for narrowband interference suppression in spread spectrum systems (1998) (3)
- Cooperative Maximum Likelihood estimation for fluid flow dynamics in biosensor arrays (2011) (3)
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