Machine learning books

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This is the first book to discuss the applications of CBR to network management. It takes a close look at the components...  Read More >>

Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework...  Read More >>

This book is the final report on a comprehensive basic research project, named GOSLER on algorithmic learning for...  Read More >>

This is a textbook for undergraduate and postgraduate students on machine learning, expert systems, and artificial...  Read More >>

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This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion,...  Read More >>

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This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT...  Read More >>

This volume grew out of a workshop designed to bring together researchers from different fields and includes contributions...  Read More >>

Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses...  Read More >>

This text presents a theory of creativity that addresses some of the problems which must be solved to build a creative...  Read More >>

Following the general framework for learning systems and its application to neural networks, the coordination...  Read More >>

An assumption of work in artificial intelligence and machine learning is that knowledge is expressed in a computer...  Read More >>

This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference...  Read More >>

This volume presents the proceedings of the Second International Colloquium on Grammatical Inference (ICGI-94),...  Read More >>

Aims to acquaint the reader especially with the cases of local-search-based learning, as well as to introduce methods...  Read More >>

This book is the latest volume in a series of texts documenting the collaboration between the Turing Institute and...  Read More >>

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central...  Read More >>

The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including...  Read More >>

Provides a unified, coherent account of machine interaction at the level of the machine designers (the society of...  Read More >>

There is increasing interest in genetic programming by both researchers and professional software developers. These...  Read More >>

This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition...  Read More >>

Aims to provide a complete, practical guide to over 30 specific learning techniques, with comparisons, examples...  Read More >>