Bayesian methods for adaptive models
Bayesian methods for adaptive models
Machine Learning
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Algorithmic Implementation of Stochastic Discrimination
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Simple Implementation of the Stochastic Discrimination for Pattern Recognition
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Mathematically Rigorous Foundation for Supervised Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Combinations of weak classifiers
IEEE Transactions on Neural Networks
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We present a learning algorithm for two-class pattern recognition. It is based on combining a large number of weak classifiers. The weak classifiers are produced independently with diversity. And they are combined through a weighted average, weighted exponentially with respect to their apparent errors on the training data. Experimental results are also given.