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Advanced Lectures on Machine Learning

ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, Revised Lectures

  • Olivier Bousquet
  • Ulrike von Luxburg
  • Gunnar Rätsch

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3176)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3176)

Table of contents

  1. Front Matter
  2. Christopher J. C. Burges
    Pages 21-40
  3. Carl Edward Rasmussen
    Pages 63-71
  4. Zoubin Ghahramani
    Pages 72-112
  5. Christophe Andrieu
    Pages 113-145
  6. Léon Bottou
    Pages 146-168
  7. Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi
    Pages 169-207
  8. Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet
    Pages 208-240
  9. Back Matter

About this book

Introduction

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.

Keywords

algorithmic learning bayesian inference classification classifier systmes inductive inference learning learning algorithms learning theory machine learning statistical learning stochastic learning unsupervised learning

Editors and affiliations

  • Olivier Bousquet
    • 1
  • Ulrike von Luxburg
    • 2
  • Gunnar Rätsch
    • 3
  1. 1.PertinenceParisFrance
  2. 2.Max Planck Institute for Biological CyberneticsTübingenGermany
  3. 3.Friedrich Miescher Laboratory of the Max Planck SocietyTübingenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/b100712
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23122-6
  • Online ISBN 978-3-540-28650-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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