Advanced Lectures on Machine Learning
ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures
Editors: Bousquet, Olivier, Luxburg, Ulrike von, Rätsch, Gunnar (Eds.)
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- About this Textbook
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Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600.
This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references.
Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.
- Table of contents (9 chapters)
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An Introduction to Pattern Classification
Pages 1-20
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Some Notes on Applied Mathematics for Machine Learning
Pages 21-40
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Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
Pages 41-62
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Gaussian Processes in Machine Learning
Pages 63-71
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Unsupervised Learning
Pages 72-112
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Table of contents (9 chapters)
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Advanced Lectures on Machine Learning
- Book Subtitle
- ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures
- Editors
-
- Olivier Bousquet
- Ulrike von Luxburg
- Gunnar Rätsch
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 3176
- Copyright
- 2004
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-28650-9
- DOI
- 10.1007/b100712
- Softcover ISBN
- 978-3-540-23122-6
- Edition Number
- 1
- Number of Pages
- X, 246
- Topics
