Chapter

Advanced Lectures on Machine Learning

Volume 3176 of the series Lecture Notes in Computer Science pp 146-168

Stochastic Learning

  • Léon BottouAffiliated withNEC Labs of America

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Abstract

This contribution presents an overview of the theoretical and practical aspects of the broad family of learning algorithms based on Stochastic Gradient Descent, including Perceptrons, Adalines, K-Means, LVQ, Multi-Layer Networks, and Graph Transformer Networks.