An efficient and scalable data compression approach to classification

Instance-Based Learning Algorithms

Machine Learning

Vector quantization and signal compression

Vector quantization and signal compression

The nature of statistical learning theory

The nature of statistical learning theory

On the Optimality of the Simple Bayesian Classifier under Zero-One Loss

Machine Learning - Special issue on learning with probabilistic representations

Making large-scale support vector machine learning practical

Advances in kernel methods

A study of support vectors on model independent example selection

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Handling concept drifts in incremental learning with support vector machines

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation

Editorial

Data Mining and Knowledge Discovery

On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality

Data Mining and Knowledge Discovery

Quantizing for minimum average misclassification risk

IEEE Transactions on Neural Networks