Machine Learning
From noise-free to noise-tolerant and from on-line to batch learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Scale-sensitive dimensions, uniform convergence, and learnability
Journal of the ACM (JACM)
Large margin classification using the perceptron algorithm
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Generalization performance of support vector machines and other pattern classifiers
Advances in kernel methods
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A Note on a Scale-Sensitive Dimension of Linear Bounded Functionals in Banach Spaces
ALT '97 Proceedings of the 8th International Conference on Algorithmic Learning Theory
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Information Theory
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Boosting the Margin Distribution
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Learning Additive Models Online with Fast Evaluating Kernels
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
An introduction to boosting and leveraging
Advanced lectures on machine learning
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Online Choice of Active Learning Algorithms
The Journal of Machine Learning Research
Active learning of label ranking functions
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Prediction in Marketing Using the Support Vector Machine
Marketing Science
Boosting strategy for classification
Intelligent Data Analysis
Dynamic Distance-Based Active Learning with SVM
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Boosting support vector machines for imbalanced data sets
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Boosting through optimization of margin distributions
IEEE Transactions on Neural Networks
Constant rate approximate maximum margin algorithms
ECML'06 Proceedings of the 17th European conference on Machine Learning
Margin distribution based bagging pruning
Neurocomputing
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