A Numerical Example on the Principles of Stochastic Discrimination

Details A Numerical Example on the Principles of Stochastic Discrimination A Numerical Example on the Principles of Stochastic Discrimination

2004-02-11

arxiv.org/abs/cs/0402021v1

Computer Science

Computer Vision and Pattern Recognition

Proceedings of the 7th Course on Ensemble Methods for Learning Machines at the International School on Neural Nets ``E.R. Caia

Scientific paper

Studies on ensemble methods for classification suffer from the difficulty of modeling the complementary strengths of the components. Kleinberg's theory of stochastic discrimination (SD) addresses this rigorously via mathematical notions of enrichment, uniformity, and projectability of an ensemble. We explain these concepts via a very simple numerical example that captures the basic principles of the SD theory and method. We focus on a fundamental symmetry in point set covering that is the key observation leading to the foundation of the theory. We believe a better understanding of the SD method will lead to developments of better tools for analyzing other ensemble methods.

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