Analysis of a Pseudo-bayesian Prediction Method

Abstract

| We study a simple learning algorithm for binary classiication. Instead of predicting with the best hypothesis in the hypothesis class, this algorithm predicts with a weighted average of all hypotheses , weighted exponentially with respect to their training error. We show that the prediction of this algorithm is much more stable than the prediction of an… (More)

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