Eecient Perceptron Learning Using Constrained Steepest Descent Running Title: Eecient Perceptron Learning 1 Eecient Perceptron Learning Using Constrained Steepest Descent

Abstract

| An algorithm is proposed for training the single-layered per-ceptron. The algorithm follows successive steepest descent directions with respect to the perceptron cost function, taking care not to increase the number of misclassiied patterns. The problem of nding these directions is stated as a quadratic programming task, to which a fast and eeective… (More)

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