Vladimir S. Cherkassky
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Vladimir S. Cherkassky's AcademicInfluence.com Rankings
Vladimir S. Cherkasskyengineering Degrees
Engineering
#6268
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#7584
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Electrical Engineering
#1841
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#1943
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Vladimir S. Cherkasskycomputer-science Degrees
Computer Science
#8213
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#8635
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Machine Learning
#3298
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#3337
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Artificial Intelligence
#3602
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#3653
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Database
#5239
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#5439
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Engineering Computer Science
Why Is Vladimir S. Cherkassky Influential?
(Suggest an Edit or Addition)Vladimir S. Cherkassky'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
- The Nature Of Statistical Learning Theory (1997) (2786)
- Practical selection of SVM parameters and noise estimation for SVM regression (2004) (1779)
- A combined SVM and LDA approach for classification (2005) (896)
- Learning from Data: Concepts, Theory, and Methods (1998) (710)
- Support vector machines for temporal classification of block design fMRI data (2005) (427)
- Learning from data (1998) (314)
- Comparison of adaptive methods for function estimation from samples (1996) (196)
- Model complexity control for regression using VC generalization bounds (1999) (187)
- From Statistics to Neural Networks: Theory and Pattern Recognition Applications (1996) (175)
- Self-Organization as an Iterative Kernel Smoothing Process (1995) (158)
- Comparison of Model Selection for Regression (2003) (133)
- Finding the right ATM switch for the market (1994) (119)
- Selection of Meta-parameters for Support Vector Regression (2002) (104)
- Image denoising using wavelet thresholding and model selection (2000) (100)
- A neural network approach to job-shop scheduling (1991) (93)
- Constrained topological mapping for nonparametric regression analysis (1991) (92)
- Fuzzy Inference Systems: A Critical Review (1998) (86)
- From Statistics to Neural Networks (1994) (84)
- Computational intelligence in earth sciences and environmental applications: Issues and challenges (2006) (72)
- SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal (2017) (69)
- A solution to the inverse kinematic problem in robotics using neural network processing (1989) (67)
- Efficient model selection for regularized linear discriminant analysis (2006) (64)
- Generalized SMO Algorithm for SVM-Based Multitask Learning (2012) (64)
- Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy (2015) (62)
- Connection between SVM+ and multi-task learning (2008) (59)
- Multiple model regression estimation (2005) (57)
- Self-organizing maps for the skeletonization of sparse shapes (2000) (56)
- Efficient Kernel Discriminant Analysis via QR Decomposition (2004) (56)
- Vapnik-Chervonenkis (VC) learning theory and its applications (1999) (56)
- Model complexity control and statistical learning theory (2002) (51)
- Practical Conditions for Effectiveness of the Universum Learning (2011) (49)
- Another look at statistical learning theory and regularization (2009) (48)
- Measuring the VC-Dimension Using Optimized Experimental Design (2000) (47)
- Development and Evaluation of Cost-Sensitive Universum-SVM (2015) (44)
- Scaling neural network for job-shop scheduling (1990) (43)
- Data representation for diagnostic neural networks (1992) (42)
- Statistical analysis of self-organization (1995) (39)
- ATM-Based Multimedia Servers (1995) (37)
- Myopotential denoising of ECG signals using wavelet thresholding methods (2001) (36)
- Motion estimation using statistical learning theory (2004) (34)
- Signal estimation and denoising using VC-theory (2001) (32)
- SVM+ regression and multi-task learning (2009) (31)
- RELIABILITY AND FAULT DIAGNOSIS ANALYSIS OF FAULT-TOLERANT MULTISTAGE INTERCONNECTION NETWORKS. (1984) (31)
- Predictive learning with structured (grouped) data (2009) (29)
- Performance of back propagation networks for associative database retrieval (1989) (28)
- Probabilistic Joint Feature Selection for Multi-task Learning (2007) (27)
- Empirical Study of the Universum SVM Learning for High-Dimensional Data (2009) (26)
- Learning rate schedules for self-organizing maps (1994) (23)
- Learning using privileged information (LUPI) for modeling survival data (2014) (23)
- Omega network-based ATM switch with neural network-controlled bypass queueing and multiplexing (1994) (21)
- Comparison of loss functions for linear regression (2004) (20)
- Prediction of electric power consumption for commercial buildings (2011) (20)
- Gender classification of human faces using inference through contradictions (2008) (19)
- Self-organizing network for regression: efficient implementation and comparative evaluation (1991) (19)
- Spatial SVM for feature selection and fMRI activation detection (2006) (18)
- Learning Using Structured Data: Application to fMRI Data Analysis (2007) (18)
- On recursive calculation of the generalized inverse of a matrix (1991) (17)
- Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories (1988) (15)
- Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach (2006) (15)
- Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models (2010) (15)
- Semantic networks and associative databases: two approaches to knowledge representation and reasoning (1992) (14)
- A measure of graceful degradation in parallel-computer systems (1989) (14)
- Multi-resolution support vector machine (1999) (13)
- Interpretation of Black-Box Predictive Models (2015) (13)
- Linear Algebra Approach to Neural Associative Memories and Noise Performance of Neural Classifiers (1991) (13)
- Model selection for wavelet-based signal estimation (1998) (13)
- Performance metrics for online seizure prediction (2020) (13)
- Task allocation and reallocation for fault tolerance in multicomputer systems (1994) (13)
- Redundant task-allocation in multicomputer systems (1992) (13)
- On Permuting Properties of Regular Rectangular SW-Banyans (1985) (12)
- Regularization effect of weight initialization in back propagation networks (1998) (12)
- Self-Organizing Neural Network for Non-Parametric Regression Analysis (1990) (11)
- Conventional and associative memory approaches to automatic spelling correction (1992) (11)
- Predicting Motor Tasks in fMRI Data with Support Vector Machines (2003) (10)
- Reliability and Fail-Softness Analysis of Multistage Interconnection Networks (1985) (10)
- Multiclass Learning from Contradictions (2019) (9)
- SVM-Based Approaches for Predictive Modeling of Survival Data (2013) (9)
- Multiple model classification using SVM-based approach (2003) (9)
- Graceful Degradation of Multiprocessor Systems (1987) (9)
- Methods for Regression (2007) (8)
- Fault-tolerant database using distributed associative memories (1991) (8)
- Statistical Learning Theory (2007) (8)
- Multiple Model Estimation : A New Formulation for Predictive Learning (2002) (7)
- Factors controlling generalization ability of MLP networks (1999) (7)
- Determining the skeletal description of sparse shapes (1997) (7)
- Object skeletons from sparse shapes in industrial image settings (1998) (7)
- Analysis and extensions of universum learning (2014) (7)
- Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy (2018) (6)
- Universum Learning for Multiclass SVM (2016) (6)
- Conventional and associative memory-based spelling checkers (1990) (6)
- Machine Learning Approach to Predicting Stem Cell Donor Availability. (2018) (6)
- Statistical and neural network techniques for nonparametric regression (1994) (6)
- Comparison of Wavelet Thresholding Methods for Denoising ECG Signals (2001) (6)
- Comparison of conventional and neural network heuristics for job shop scheduling (1992) (6)
- Reliable seizure prediction from EEG data (2015) (5)
- Self-Organizing Networks for Nonparametric Regression (1994) (5)
- Universum learning for SVM regression (2016) (5)
- Implementation and comparison of SVM-based Multi-Task Learning methods (2012) (5)
- FAULT DIAGNOSIS AND PERMUTING PROPERTIES OF CC-BANYAN NETWORKS. (1984) (4)
- Nonparametric regression analysis using self-organizing topological maps (1992) (4)
- Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM (2015) (4)
- 2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction (2006) (4)
- Learning from dat (2013) (4)
- Back-propagation networks for spelling correction (2015) (4)
- Efficient mapping and implementation of matrix algorithms on a hypercube (1988) (4)
- Cost-Sensitive Universum-SVM (2012) (4)
- Predictive Learning, Knowledge Discovery and Philosophy of Science (2012) (4)
- Constrained Topological Maps for Regression and Classification (1997) (4)
- Adaptive knot Placement for Nonparametric Regression (1993) (4)
- Inductive Principles for Learning from Data (1998) (4)
- Funds exchange: an approach for risk and portfolio management (2000) (3)
- Noise Performance of Linear Associative Memories (1994) (3)
- Group Learning for High-Dimensional Sparse Data (2019) (3)
- Market timing of international mutual funds: a decade after the scandal (2012) (3)
- Model selection for k-nearest neighbors regression using VC bounds (2003) (3)
- Correction: Forecasting Seizures Using Bivariate Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy (2016) (3)
- Classification methods for high-dimensional sparse data (2007) (3)
- Partitioning and Permuting Properties of CC-Banyan Networks (1989) (3)
- Conventional and neural network approaches to regression (1992) (3)
- Data Complexity, Margin-Based Learning, and Popper’s Philosophy of Inductive Learning (2006) (3)
- Performance Evaluation of Neurectangular Multistage Interconnection Networks (1988) (3)
- SVM-based Learning for Multiple Model Estimation (2002) (3)
- Model selection using statistical learning theory (1999) (3)
- New Formulations for Predictive Learning (2005) (3)
- Matrix Computations and Neural Associative Memories (1990) (2)
- Moving ATM closer to multimedia applications (1994) (2)
- Computation of the distributed associative memory and numerical stability of the generalized inverse matrix (1989) (2)
- Distributed processing for database design (1988) (2)
- Multiple regression estimation for motion analysis and segmentation (2004) (2)
- Fault-tolerant communications processing (1991) (2)
- Application of SOM to analysis of Minnesota soil survey data (2011) (2)
- Characterization of data complexity for SVM methods (2005) (2)
- WIRELESS TRANSMISSION OF IMAGE AND VIDEO DATA (2002) (2)
- Performance of a new LAN for real-time traffic (1990) (2)
- Multiclass Universum SVM (2018) (2)
- Real-Time Pricing of Mutual Funds (2006) (2)
- Controlling model complexity in flow estimation (2003) (2)
- Multiple model estimation using svm-based learning (2003) (2)
- Application and development of new learning methodologies for fmri data analysis (2007) (2)
- System interconnection architectures for multimedia server (1995) (1)
- Performance of Non-Rectangular Multistage Interconnection Networks (1986) (1)
- Analysis of CC-Banyan Networks (1986) (1)
- Motion prediction using VC-generalization bounds (2002) (1)
- Performance of neural associative memories for character recognition and associative database retrieval (1990) (1)
- An architectural development and performance of a real time LAN (1988) (1)
- Predictive learning with sparse heterogeneous data (2009) (1)
- Methods for Data Reduction and Dimensionality Reduction (2007) (1)
- Noninductive Inference and Alternative Learning Formulations (2007) (1)
- Fail-Softness Analysis of Tree-Based Local Area Networks (1985) (1)
- Statistical Analysis of the Soil Chemical Survey Data (2010) (1)
- Improved VC-based signal denoising (2001) (1)
- Nonlinear Optimization Strategies (2007) (0)
- Design Issues for Parallel Matrix Algorithms (1991) (0)
- The performance of a real time LAN architecture for sensor fusion applications (1988) (0)
- Problem Statement, Classical Approaches, and Adaptive Learning (2007) (0)
- Datw RepresentmtIon DIagnostIc Neud NeWorks (1992) (0)
- Support vector machines and regularization (2005) (0)
- Machine Learning approach to Predicting Stem-Cell Donor Availability (2018) (0)
- Neural network controller for rearrangeable switching networks (1993) (0)
- Adaptive prototype formation (2015) (0)
- Computational intelligence in earth and environmental sciences (2007) (0)
- Self-organizing network for regression (1991) (0)
- Characterization ofDataComplexity forSVM Methods (2005) (0)
- Appendix A: Review of Nonlinear Optimization (2007) (0)
- Implementation of Quality of Service (QoS) with Dynamic Resource Allocation (2004) (0)
- Abstract— Exploiting Additional Information to Improve Traditional Inductive Learning Is an Active Research Area in Machine Learning. in Many Supervised-learning Applications, Training Data Can Be Naturally Separated into Several Groups, and Incorporating This Group Information into Learning May Imp (2009) (0)
- Unrelated Donor Selection for Stem Cell Transplants using Predictive Modelling (2018) (0)
- Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences (2005) (0)
- Heterogeneous Predictive Learning with Sparse Heterogeneous Data (0)
- Appendix B: Eigenvalues and Singular Value Decomposition (2007) (0)
- A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks (1987) (0)
- VC Theoretical Explanation of Double Descent (2022) (0)
- Introduction to VC learning theory (2000) (0)
- Introduction to VC learning theory with applications to Financial Engineering - Tutorial. (2000) (0)
- Practical Analysis of the Universum SVM Learning (2011) (0)
- Fig.? Expected reward rare. E{X(t»). (0)
- 1005-LBP: Automation and comparative validation of multiple machine learning techniques for the prediction of HLA serologic specificities: Beyond the neural network (2014) (0)
- Real-Time Prediction of Freeway Occupancy for Congestion Control (1997) (0)
- Neural Network for Control of Rearrangeable Clos Networks (1994) (0)
- 1 Associative Databases Two Approaches to Knowledge Representation and Reasoning (1992) (0)
- Semantic categorization using a hierarchical associative memory (2015) (0)
- Performance and reliability evaluation of banyan networks (fault-tolerance, multistage interconnection, permutation multiprocessing, parallel) (1985) (0)
- Single Class Universum-SVM (2019) (0)
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