Lecture Notes in Artificial Intelligence

Learning Theory

18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings

Editors: Auer, Peter, Meir, Ron (Eds.)

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-540-31892-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $179.00
price for USA
  • ISBN 978-3-540-26556-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This volume contains papers presented at the Eighteenth Annual Conference on Learning Theory (previously known as the Conference on Computational Learning Theory) held in Bertinoro, Italy from June 27 to 30, 2005. The technical program contained 45 papers selected from 120 submissions, 3 open problems selected from among 5 contributed, and 2 invited lectures. The invited lectures were given by Sergiu Hart on “Uncoupled Dynamics and Nash Equilibrium”, and by Satinder Singh on “Rethinking State, Action, and Reward in Reinforcement Learning”. These papers were not included in this volume. The Mark Fulk Award is presented annually for the best paper co-authored by a student. The student selected this year was Hadi Salmasian for the paper titled “The Spectral Method for General Mixture Models” co-authored with Ravindran Kannan and Santosh Vempala. The number of papers submitted to COLT this year was exceptionally high. In addition to the classical COLT topics, we found an increase in the number of submissions related to novel classi?cation scenarios such as ranking. This - crease re?ects a healthy shift towards more structured classi?cation problems, which are becoming increasingly relevant to practitioners.

Table of contents (48 chapters)

  • Ranking and Scoring Using Empirical Risk Minimization

    Clémençon, Stéphan (et al.)

    Pages 1-15

  • Learnability of Bipartite Ranking Functions

    Agarwal, Shivani (et al.)

    Pages 16-31

  • Stability and Generalization of Bipartite Ranking Algorithms

    Agarwal, Shivani (et al.)

    Pages 32-47

  • Loss Bounds for Online Category Ranking

    Crammer, Koby (et al.)

    Pages 48-62

  • Margin-Based Ranking Meets Boosting in the Middle

    Rudin, Cynthia (et al.)

    Pages 63-78

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-540-31892-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $179.00
price for USA
  • ISBN 978-3-540-26556-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Learning Theory
Book Subtitle
18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings
Editors
  • Peter Auer
  • Ron Meir
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3559
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-31892-7
DOI
10.1007/b137542
Softcover ISBN
978-3-540-26556-6
Edition Number
1
Number of Pages
XII, 692
Topics