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Learning Theory and Kernel Machines

16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003. Proceedings

  • Bernhard Schölkopf
  • Manfred K. Warmuth

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2777)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2777)

Table of contents

  1. Front Matter
  2. Target Area: Computational Game Theory

    1. Invited Talk

    2. Contributed Talks

      1. Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich
        Pages 13-25
      2. Adam Kalai, Santosh Vempala
        Pages 26-40
    3. Kernel Machines

      1. Corinna Cortes, Patrick Haffner, Mehryar Mohri
        Pages 41-56
      2. Tony Jebara, Risi Kondor
        Pages 57-71
      3. Matthias Hein, Olivier Bousquet
        Pages 72-86
      4. Roni Khardon, Rocco A. Servedio
        Pages 87-101
      5. Glenn M. Fung, Olvi L. Mangasarian, Jude W. Shavlik
        Pages 102-113
      6. Christina Leslie, Rui Kuang
        Pages 114-128
      7. Thomas Gärtner, Peter Flach, Stefan Wrobel
        Pages 129-143
      8. Alexander J. Smola, Risi Kondor
        Pages 144-158
  3. Poster Session 1

    1. Fei Sha, Lawrence K. Saul, Daniel D. Lee
      Pages 188-202
    2. David McAllester
      Pages 203-215
    3. Michinari Momma, Kristin P. Bennett
      Pages 216-230
    4. Shantanu Chakrabartty, Gert Cauwenberghs, Jayadeva
      Pages 231-242
    5. Jinbo Bi, Vladimir N. Vapnik
      Pages 243-257
    6. Balázs Kégl
      Pages 258-272
    7. Sanjoy Dasgupta, Philip M. Long
      Pages 273-287
    8. Jaz Kandola, Thore Graepel, John Shawe-Taylor
      Pages 288-302
    9. Statistical Learning Theory

      1. Alexandre B. Tsybakov
        Pages 303-313
      2. Ulrike von Luxburg, Olivier Bousquet
        Pages 314-328
      3. Shahar Mendelson, Petra Philips
        Pages 329-343
      4. Avrim Blum, John Langford
        Pages 344-357
    10. Online Learning

      1. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
        Pages 373-387
      2. Koby Crammer, Yoram Singer
        Pages 388-402
      3. Gilles Stoltz, Gábor Lugosi
        Pages 403-417
    11. Other Approaches

      1. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
        Pages 433-447
      2. Nina Mishra, Dana Ron, Ram Swaminathan
        Pages 448-462
      3. Adam R. Klivans, Amir Shpilka
        Pages 463-476
  4. Poster Session 2

    1. Malik Magdon-Ismail, Joseph Sill
      Pages 477-491
    2. Vladimir Koltchinskii, Dmitry Panchenko, Savina Andonova
      Pages 492-505
    3. Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin
      Pages 522-536
    4. Marta Arias, Roni Khardon, Rocco A. Servedio
      Pages 537-551
    5. Shie Mannor, Nahum Shimkin
      Pages 552-566
    6. Shai Ben-David, Reba Schuller
      Pages 567-580
    7. Eyal Even-Dar, Yishay Mansour
      Pages 581-594
    8. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
      Pages 595-609
    9. Jeffrey C. Jackson, Rocco A. Servedio
      Pages 610-624
    10. Robert H. Sloan, Balázs Szörényi, György Turán
      Pages 625-639
    11. Aharon Bar-Hillel, Daphna Weinshall
      Pages 640-654
  5. Target Area: Natural Language Processing

    1. Invited Talks

      1. Mehryar Mohri
        Pages 656-670

About these proceedings

Keywords

Algorithmic Learning Boosting Game Theory Inductive Inference Kernel Methods Learning Classifier Systems Machine Learning Online Learning Statistical Learning Support Vector Machine algorithm algorithms complexity k-Means programming

Editors and affiliations

  • Bernhard Schölkopf
    • 1
  • Manfred K. Warmuth
    • 2
  1. 1.MPI for Biological CyberneticsTübingenGermany
  2. 2.University of CaliforniaSanta Cruz

Bibliographic information

  • DOI https://doi.org/10.1007/b12006
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40720-1
  • Online ISBN 978-3-540-45167-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site