Features
- Cover Type: Paperback with 259 pages
- Published by: Springer
- Edition: 1st Edition April 10, 2003
- Written in: English
- ISBN 10 Number: 3540005293
- ISBN 13 Number: 978-3540005292
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Book Dimensions:
9.2 x 6.1 x 0.6 inches
- Weighs: 1.1 pounds
Product Description
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.
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