Advanced Lectures on Machine Learning - Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002, Revised Lectures (Paperback, 2003 ed.)

This book presents revised reviewed versions of lectures given during the Machine Learning Summer School held in Canberra, Australia, in February 2002. The lectures address the following key topics in algorithmic learning: statistical learning theory, kernel methods, boosting, reinforcement learning, theory learning, association rule learning, and learning linear classifier systems. Thus, the book is well balanced between classical topics and new approaches in machine learning. Advanced students and lecturers will find this book a coherent in-depth overview of this exciting area, while researchers will use this book as a valuable source of reference.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 2600
Release date:	2003
First published:	2003
Editors:	Shahar Mendelson • Alexander J. Smola
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	266
Edition:	2003 ed.
ISBN-13:	978-3-540-00529-2
Categories:	Books > Reference & Interdisciplinary > Interdisciplinary studies > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-540-00529-3
Barcode:	9783540005292

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