Lecture Notes in Artificial Intelligence
© 2006
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)
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Evaluating Predictive Uncertainty Challenge
Pages 1-27
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Classification with Bayesian Neural Networks
Pages 28-32
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A Pragmatic Bayesian Approach to Predictive Uncertainty
Pages 33-40
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Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees
Pages 41-55
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Estimating Predictive Variances with Kernel Ridge Regression
Pages 56-77
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Table of contents (25 chapters)
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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
