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Lecture Notes in Computer Science

Advanced Lectures on Machine Learning

Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002, Revised Lectures

Editors: Mendelson, Shahar, Smola, Alexander J. (Eds.)

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eBook $54.99
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  • ISBN 978-3-540-36434-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Softcover $69.95
price for USA
  • ISBN 978-3-540-00529-2
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About this Textbook

Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11–22, 2002 at the Australian National University. The current book contains a collection of the main talks held during those two weeks in February, presented as tutorial chapters on topics such as Boosting, Data Mining, Kernel Methods, Logic, Reinforcement Learning, and Statistical Learning Theory. The papers provide an in-depth overview of these exciting new areas, contain a large set of references, and thereby provide the interested reader with further information to start or to pursue his own research in these directions. Complementary to the book, a recorded video of the presentations during the Summer School can be obtained at http://mlg. anu. edu. au/summer2002 It is our hope that graduate students, lecturers, and researchers alike will ?nd this book useful in learning and teaching Machine Learning, thereby continuing the mission of the Summer School. Canberra, November 2002 Shahar Mendelson Alexander Smola Research School of Information Sciences and Engineering, The Australian National University Thanks and Acknowledgments We gratefully thank all the individuals and organizations responsible for the success of the workshop.

Table of contents (5 chapters)

  • A Short Introduction to Learning with Kernels

    Bernhard Schölkopf, Alexander J. Smola

    Pages 41-64

  • Bayesian Kernel Methods

    Alexander J. Smola, Bernhard Schölkopf

    Pages 65-117

  • An Introduction to Boosting and Leveraging

    Ron Meir, Gunnar Rätsch

    Pages 118-183

  • An Introduction to Reinforcement Learning Theory: Value Function Methods

    Peter L. Bartlett

    Pages 184-202

  • Online Learning of Linear Classifiers

    Jyrki Kivinen

    Pages 235-257

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-3-540-36434-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.95
price for USA
  • ISBN 978-3-540-00529-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Lectures on Machine Learning
Book Subtitle
Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002, Revised Lectures
Editors
  • Shahar Mendelson
  • Alexander J. Smola
Series Title
Lecture Notes in Computer Science
Series Volume
2600
Copyright
2003
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-36434-4
DOI
10.1007/3-540-36434-X
Softcover ISBN
978-3-540-00529-2
Series ISSN
0302-9743
Edition Number
1
Number of Pages
X, 266
Topics