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Lecture Notes in Artificial Intelligence

Machine Learning Challenges

Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers

Editors: Quinonero-Candela, J., Dagan, I., Magnini, B., d'Alché-Buc, F. (Eds.)

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Table of contents (25 chapters)

  • Evaluating Predictive Uncertainty Challenge

    Quiñonero-Candela, Joaquin (et al.)

    Pages 1-27

  • Classification with Bayesian Neural Networks

    Neal, Radford M.

    Pages 28-32

  • A Pragmatic Bayesian Approach to Predictive Uncertainty

    Murray, Iain (et al.)

    Pages 33-40

  • Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees

    Chawla, Nitesh V.

    Pages 41-55

  • Estimating Predictive Variances with Kernel Ridge Regression

    Cawley, Gavin C. (et al.)

    Pages 56-77

Buy this book

eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-540-33428-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA in USD
  • ISBN 978-3-540-33427-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Challenges
Book Subtitle
Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers
Editors
  • Joaquin Quinonero-Candela
  • Ido Dagan
  • Bernardo Magnini
  • Florence d'Alché-Buc
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3944
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-33428-6
DOI
10.1007/11736790
Softcover ISBN
978-3-540-33427-9
Edition Number
1
Number of Pages
XIII, 462
Topics