Generalization performance of support vector machines and other pattern classifiers

Further results on the margin distribution

COLT '99 Proceedings of the twelfth annual conference on Computational learning theory

Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap

Neural Processing Letters

Enlarging the Margins in Perceptron Decision Trees

Machine Learning

On the VC Dimension of Bounded Margin Classifiers

Machine Learning

The Supervised Network Self-Organizing Map for Classification of Large Data Sets

Applied Intelligence

Generalized Radial Basis Function Networks Trained with Instance Based Learning for Data Mining of Symbolic Data

Applied Intelligence

PAC Analogues of Perceptron and Winnow Via Boosting the Margin

Machine Learning

Model Selection and Error Estimation

Machine Learning

Automatic Detection of Film Orientation with Support Vector Machines

IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence

Margin Distribution Bounds on Generalization

EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory

Support Vector Machines: Theory and Applications

Machine Learning and Its Applications, Advanced Lectures

On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces

ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory

A Note on the Generalization Performance of Kernel Classifiers with Margin

ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory

Large Margin Classification for Moving Targets

ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory

A Generalized Representer Theorem

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

Smooth Boosting and Learning with Malicious Noise

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

An Algorithmic Theory of Learning: Robust Concepts and Random Projection

FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science

A short introduction to learning with kernels

Advanced lectures on machine learning

On the influence of the kernel on the consistency of support vector machines

The Journal of Machine Learning Research

Covering number bounds of certain regularized linear function classes

The Journal of Machine Learning Research

Smooth boosting and learning with malicious noise

The Journal of Machine Learning Research

Fat-Shattering of Affine Functions

Combinatorics, Probability and Computing

A Compression Approach to Support Vector Model Selection

The Journal of Machine Learning Research

Training algorithms for fuzzy support vector machines with noisy data

Pattern Recognition Letters

PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification

Machine Learning

Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning

ICML '05 Proceedings of the 22nd international conference on Machine learning

An algorithmic theory of learning: Robust concepts and random projection

Machine Learning

Kernels as features: On kernels, margins, and low-dimensional mappings

Machine Learning

Efficient and interpretable fuzzy classifiers from data with support vector learning

Intelligent Data Analysis

Bounds on Error Expectation for Support Vector Machines

Neural Computation

Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies

The Journal of Machine Learning Research

Supervised tensor learning

Knowledge and Information Systems

Symbolic adaptive neuro-fuzzy inference for data mining of heterogenous data

Intelligent Data Analysis

Prediction and dynamical reconstruction of non-stationary data with delay-coordinates embedding and support vector machine regression

NOLASC'05 Proceedings of the 4th WSEAS International Conference on Non-linear Analysis, Non-linear Systems and Chaos

VC Theory of Large Margin Multi-Category Classifiers

The Journal of Machine Learning Research

Asymmetric support vector machines: low false-positive learning under the user tolerance

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Kernel methods for learning languages

Theoretical Computer Science

Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Classification Model for Estimation of Risk Factors in Cardiological Diagnostics

AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications

Collective-agreement-based pruning of ensembles

Computational Statistics & Data Analysis

A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy

Artificial Intelligence in Medicine

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

Computational Statistics & Data Analysis

Generative prior knowledge for discriminative classification

Journal of Artificial Intelligence Research

Learning languages with rational kernels

COLT'07 Proceedings of the 20th annual conference on Learning theory

On reverse feature engineering of syntactic tree kernels

CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning

Tree Decomposition for Large-Scale SVM Problems

The Journal of Machine Learning Research

Metric anomaly detection via asymmetric risk minimization

SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition

wHunter: a focused web crawler – a tool for digital library

ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization

Learning linearly separable languages

ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory

Designing nonlinear classifiers through minimizing VC dimension bound

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

The Maximum Vector-Angular Margin Classifier and its fast training on large datasets using a core vector machine

Neural Networks

Random projection, margins, kernels, and feature-selection

SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection

Reduction from cost-sensitive ordinal ranking to weighted binary classification

Neural Computation

Robust feature selection based on regularized brownboost loss

Knowledge-Based Systems