Machine learning books

Shows how abstract data types can be evolved using genetic programming. This book demonstrates how genetic programming...  Read More >>

Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive...  Read More >>

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An introduction to genetic algorithms, using research in the field to enable readers to implement and experiment...  Read More >>

Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement...  Read More >>

This introduction to GP provides an overview of the subject and its antecedents, with references to the published...  Read More >>

Machine learning techniques have been applied across a variety of domains - from information retrieval to engineering...  Read More >>

Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar...  Read More >>

"This book is about designing and building learning autonomous robots. The term ""shaping"" comes from experimental...  Read More >>

A research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described...  Read More >>

Case-based reasoning (CBR) is an intelligent-systems method that enables information managers to increase efficiency...  Read More >>

Among the topics addressed are PAC learning, learning algorithms, inductive learning, inductive inference, learning...  Read More >>

evolutionary optimization, evolutionary learning, artificial life, hybrid evolutionary fuzzy systems, evolutionary...  Read More >>

The contributors are among the world's leading researchers inautomated reasoning. Their essays cover the theory,...  Read More >>

Autonomous agents or multiagent systems are computational systems in which several computational agents interact...  Read More >>

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This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms...  Read More >>

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The aim of this textbook is to provide undergraduate students with an introduction to the basic theoretical models...  Read More >>

The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often...  Read More >>

This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held...  Read More >>

This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory,...  Read More >>