Automatic Pattern Recognition: A Study of the Probability of Error
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Semantic complexity of classes of relational queries and query independent data partitioning
PODS '91 Proceedings of the tenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A theory for memory-based learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
PAC learning with generalized samples and an application to stochastic geometry
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning with a slowly changing distribution
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning stochastic functions by smooth simultaneous estimation
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Toward efficient agnostic learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Pattern Recognition and Valiant's Learning Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Learning from a population of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Hybrid pattern recognition system capable of self-modification
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Theory and Practice of Vector Quantizers Trained on Small Training Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rigorous learning curve bounds from statistical mechanics
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
The minimum L-complexity algorithm and its applications to learning non-parametric rules
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
On the learnability of discrete distributions
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Transparent remote execution in LAHNOS by means of a neural network device
ACM SIGOPS Operating Systems Review
On real Turing machines that toss coins
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning by a population of perceptrons
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Towards robust model selection using estimation and approximation error bounds
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A framework for structural risk minimisation
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A Bayesian/information theoretic model of bias learning
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Learning changing concepts by exploiting the structure of change
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Parameter Estimation for Optimal Object Recognition: Theory andApplication
International Journal of Computer Vision
Noise injection: theoretical prospects
Neural Computation
An Experimental and Theoretical Comparison of Model SelectionMethods
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Journal of the ACM (JACM)
Scale-sensitive dimensions, uniform convergence, and learnability
Journal of the ACM (JACM)
Proactive password checking with decision trees
Proceedings of the 4th ACM conference on Computer and communications security
A PAC analysis of a Bayesian estimator
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Performance bounds for nonlinear time series prediction
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Dense shattering and teaching dimensions for differentiable families (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
The Sample Complexity of Learning Fixed-Structure Bayesian Networks
Machine Learning - Special issue on learning with probabilistic representations
Improved lower bounds for learning from noisy examples: an information-theoretic approach
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Large margin classification using the perceptron algorithm
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Cross-validation for binary classification by real-valued functions: theoretical analysis
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Properties of support vector machines
Neural Computation
Validation of voting committees
Neural Computation
High dictionary compression for proactive password checking
ACM Transactions on Information and System Security (TISSEC)
Function Estimation by Feedforward Sigmoidal Networks with BoundedWeights
Neural Processing Letters
Learning to classify text from labeled and unlabeled documents
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning to resolve natural language ambiguities: a unified approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A sparse representation for function approximation
Neural Computation
An equivalence between sparse approximation and support vector machines
Neural Computation
Prequential and Cross-Validated Regression Estimation
Machine Learning
Bayesian Landmark Learning for Mobile Robot Localization
Machine Learning
Multiclass learning, boosting, and error-correcting codes
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Theoretical analysis of a class of randomized regularization methods
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Viewing all models as “probabilistic”
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Reinforcement learning and mistake bounded algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Parameter convergence and learning curves for neural networks
Neural Computation
Sample-efficient strategies for learning in the presence of noise
Journal of the ACM (JACM)
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Large Margin Classification Using the Perceptron Algorithm
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Nonparametric Time Series Prediction Through Adaptive ModelSelection
Machine Learning
On the Algorithmic Implementation of Stochastic Discrimination
IEEE Transactions on Pattern Analysis and Machine Intelligence
How Bad May Learning Curves Be?
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification
Neural Processing Letters
Enlarging the Margins in Perceptron Decision Trees
Machine Learning
Learning with Nearest Neighbour Classifiers
Neural Processing Letters
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
On Fusers that Perform Better than Best Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complexity of learning in artificial neural networks
Theoretical Computer Science - Phase transitions in combinatorial problems
Data mining with sparse grids using simplicial basis functions
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Computing
Propositionalization approaches to relational data mining
Relational Data Mining
On the VC Dimension of Bounded Margin Classifiers
Machine Learning
Model complexity control and statisticallearning theory
Natural Computing: an international journal
The Brain-Like Sensorimotor Control System
Journal of Intelligent and Robotic Systems
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Applied Intelligence
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
The estimation of heavy-tailed probability density functions, their mixtures and quantiles
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
Learning Changing Concepts by Exploiting the Structure of Change
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Model Selection for Small Sample Regression
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Model Selection and Error Estimation
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On an Asymptotically Optimal Adaptive Classifier Design Criterion
IEEE Transactions on Pattern Analysis and Machine Intelligence
PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Intelligent Systems
A geometric approach to leveraging weak learners
Theoretical Computer Science
An approach to the evaluation of the performance of a discrete classifier
Pattern Recognition Letters
Bayesian learning and evolutionary parameter optimization
AI Communications - Special issue on KI-2001
Local overfitting control via leverages
Neural Computation
Support vector machines: relevance feedback and information retrieval
Information Processing and Management: an International Journal
Learning to recognize three-dimensional objects
Neural Computation
A Kernel Approach for Learning from almost Orthogonal Patterns
ECML '02 Proceedings of the 13th European Conference on Machine Learning
A Kernel Approach for Learning from Almost Orthogonal Patterns
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Using Finite Automata to Mine Execution Data for Intrusion Detection: A Preliminary Report
RAID '00 Proceedings of the Third International Workshop on Recent Advances in Intrusion Detection
Optimal Threshold Estimation Using Prototype Selection
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Mathematical Modelling of Generalization
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
A Comparison of Classifiers for Real-Time Eye Detection
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Margin Distribution Bounds on Generalization
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Distribution-Dependent Vapnik-Chervonenkis Bounds
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
A Geometric Approach to Leveraging Weak Learners
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Regularized Principal Manifolds
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Support Vector Machines with Embedded Reject Option
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Bayesian Learning and Evolutionary Parameter Optimization
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Data Complexity Analysis for Classifier Combination
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
MORF: A Distributed Multimodal Information Filtering System
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
On Agnostic Learning with {0, *, 1}-Valued and Real-Valued Hypotheses
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
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WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures
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EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Method of Hybrid Approximations for Modelling of Multidimensional Nonlinear Systems
Multidimensional Systems and Signal Processing
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Inference for the Generalization Error
Machine Learning
A short introduction to learning with kernels
Advanced lectures on machine learning
Online learning of linear classifiers
Advanced lectures on machine learning
Constructing fixed rank optimal estimators with method of best recurrent approximations
Journal of Multivariate Analysis
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Proceedings of the 9th annual international conference on Mobile computing and networking
On learning multicategory classification with sample queries
Information and Computation
Information Processing Letters
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The subspace information criterion for infinite dimensional hypothesis spaces
The Journal of Machine Learning Research
Stopping criterion for boosting based data reduction techniques: from binary to multiclass problem
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An introduction to variable and feature selection
The Journal of Machine Learning Research
Extensions to metric based model selection
The Journal of Machine Learning Research
Mlps (mono layer polynomials and multi layer perceptrons) for nonlinear modeling
The Journal of Machine Learning Research
Use of the zero norm with linear models and kernel methods
The Journal of Machine Learning Research
The influence of prior knowledge on the expected performance of a classifier
Pattern Recognition Letters
Optimally-smooth adaptive boosting and application to agnostic learning
The Journal of Machine Learning Research
A note on different covering numbers in learning theory
Journal of Complexity
Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Email classification for contact centers
Proceedings of the 2003 ACM symposium on Applied computing
The anatomy of a multimodal information filter
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
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MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Greedy algorithms for classification—consistency, convergence rates, and adaptivity
The Journal of Machine Learning Research
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
Introduction to the special issue on learning theory
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ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
The Method of Risk Envelope in Estimation of Linear Functionals
Problems of Information Transmission
Results in statistical discriminant analysis: a review of the former Soviet union literature
Journal of Multivariate Analysis
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques
IEEE Transactions on Knowledge and Data Engineering
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Statistics and Computing
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Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Information Fusion Methods Based on Physical Laws
IEEE Transactions on Pattern Analysis and Machine Intelligence
Groves decipherment from space photos using prototype matching
Pattern Recognition Letters - Special issue: Pattern recognition for remote sensing (PRRS 2002)
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Some connections between learning and optimization
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Semantics and feature discovery via confidence-based ensemble
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Proceedings of the 11th annual international conference on Mobile computing and networking
Density estimation by the penalized combinatorial method
Journal of Multivariate Analysis
Ensembles of biased classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Training Support Vector Machines Using Gilbert's Algorithm
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Gradient-Based Optimization of Hyperparameters
Neural Computation
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Neural Computation
The VC Dimension for Mixtures of Binary Classifiers
Neural Computation
Neural Computation
ICML '06 Proceedings of the 23rd international conference on Machine learning
Throughput scalability of wireless hybrid networks over a random geometric graph
Wireless Networks - Special issue: Selected papers from ACM MobiCom 2003
Personal authentication based on generalized symmetric max minimal distance in subspace
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Transductive inference using multiple experts for brushwork annotation in paintings domain
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Performance thresholding in practical text classification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Kernel matching pursuit classifier ensemble
Pattern Recognition
Bayes classification based on minimum bounding spheres
Neurocomputing
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Machine Learning
Guest editorial: Learning theory
Machine Learning
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International Journal of Knowledge-based and Intelligent Engineering Systems - Advanced Intelligent Techniques in Engineering Applications
Creating a quality map of a slate deposit using support vector machines
Journal of Computational and Applied Mathematics
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Information Processing Letters
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Nonparametric Quantile Estimation
The Journal of Machine Learning Research
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Sample compression bounds for decision trees
Proceedings of the 24th international conference on Machine learning
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Intelligent Data Analysis
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Pattern Recognition
Finite sample effects of the fast ICA algorithm
Neurocomputing
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Decision Support Systems
Aspects of discrete mathematics and probability in the theory of machine learning
Discrete Applied Mathematics
Prediction of Protein Secondary Structure with two-stage multi-class SVMs
International Journal of Data Mining and Bioinformatics
The lack of a priori distinctions between learning algorithms
Neural Computation
Vapnik-chervonenkis generalization bounds for real valued neural networks
Neural Computation
Boosting and other ensemble methods
Neural Computation
Inference of gene regulatory networks based on a universal minimum description length
EURASIP Journal on Bioinformatics and Systems Biology
Stability of transductive regression algorithms
Proceedings of the 25th international conference on Machine learning
VC Theory of Large Margin Multi-Category Classifiers
The Journal of Machine Learning Research
Variations of the two-spiral task
Connection Science
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Machine Learning
Locally linear reconstruction for instance-based learning
Pattern Recognition
Spectral algorithms for supervised learning
Neural Computation
Boosting Threshold Classifiers for High--- Dimensional Data in Functional Genomics
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Bayesian Model of Recognition on a Finite Set of Events
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Non-stationary Data Mining: The Network Security Issue
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Proper Model Selection with Significance Test
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Some Progress of Supervised Learning
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
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Computers & Mathematics with Applications
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Decision Support Systems
Bayesian approach, theory of empirical risk minimization. Comparative analysis
Cybernetics and Systems Analysis
Data Complexity Analysis: Linkage between Context and Solution in Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
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Fundamenta Informaticae - Membrane Computing
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Natural Computing: an international journal
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Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
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Fuzzy Sets and Systems
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CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
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Cybernetics and Systems Analysis
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APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
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Journal of Artificial Intelligence Research
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Journal of Artificial Intelligence Research
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IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Classifiers: a theoretical and empirical study
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
CABOT: an adaptive approach to case-based search
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
The problem of induction and machine learning
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Transductive Rademacher complexity and its applications
Journal of Artificial Intelligence Research
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IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
The complexity of theory revision
Artificial Intelligence
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Artificial Intelligence in Medicine
Evolving least squares support vector machines for stock market trend mining
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Fast support vector machines for continuous data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hierarchical cooperation in ad hoc networks: optimal clustering and achievable throughput
IEEE Transactions on Information Theory
SVM+ regression and multi-task learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
The multiple pairs SMO: a modified SMO algorithm for the acceleration of the SVM training
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Predictive learning with sparse heterogeneous data
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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Discrete Applied Mathematics
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Discrete Applied Mathematics
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Journal of the ACM (JACM)
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CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
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Pattern Recognition Letters
Two-view face recognition using bayesian fusion
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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International Journal of Computers and Applications
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The Journal of Machine Learning Research
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The Journal of Machine Learning Research
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ICCS'03 Proceedings of the 2003 international conference on Computational science
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ECIR'03 Proceedings of the 25th European conference on IR research
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ECIR'03 Proceedings of the 25th European conference on IR research
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COLT'07 Proceedings of the 20th annual conference on Learning theory
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Theoretical Computer Science
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ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
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PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
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Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns
Artificial Intelligence in Medicine
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The Journal of Machine Learning Research
Computational Optimization and Applications
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Pattern Recognition and Image Analysis
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AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
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IEEE Transactions on Image Processing
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ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
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Journal of Artificial Intelligence Research
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Information Sciences: an International Journal
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Neurocomputing
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IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
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MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
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Applied Intelligence
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UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
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MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Decoding of ternary error correcting output codes
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Symmetries from uniform space covering in stochastic discrimination
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Functional classification with margin conditions
COLT'06 Proceedings of the 19th annual conference on Learning Theory
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COLT'06 Proceedings of the 19th annual conference on Learning Theory
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ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Signal Processing
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Pattern Recognition
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ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Support vector machines with beta-mixing input sequences
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Speech event detection using support vector machines
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Approximation algorithms for minimizing empirical error by axis-parallel hyperplanes
ECML'05 Proceedings of the 16th European conference on Machine Learning
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ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
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ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Unlabeled compression schemes for maximum classes
COLT'05 Proceedings of the 18th annual conference on Learning Theory
SVM based regression schemes for instruments fault accommodation in automotive systems
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Simplify decision function of reduced support vector machines
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
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ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Adaptive inverse control system based on least squares support vector machines
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
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ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
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DS'05 Proceedings of the 8th international conference on Discovery Science
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IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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Expert Systems with Applications: An International Journal
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AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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Computers and Electronics in Agriculture
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ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
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Mathematical and Computer Modelling: An International Journal
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ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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Fundamenta Informaticae - Membrane Computing
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International Journal of Intelligent Information and Database Systems
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Pattern Recognition
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Machine Learning
Information Sciences: an International Journal
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Computer Methods and Programs in Biomedicine
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Pattern Recognition
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Counterfactual reasoning and learning systems: the example of computational advertising
The Journal of Machine Learning Research
Online learning algorithm of kernel-based ternary classifiers using support vectors
Optical Memory and Neural Networks
Boosted kernel for image categorization
Multimedia Tools and Applications
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