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 (2006) (Lecture Notes in Computer Science #3944)
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- Synopsis
- This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. 25 papers address three challenges: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; second, recognizing objects from a number of visual object classes in realistic scenes; third, recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.
- Copyright:
- 2006
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783540334286
- Related ISBNs:
- 9783540334279
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 08/13/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture, Computers and Internet, Mathematics and Statistics, Philosophy
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Joaquin Quinonero-Candela
- Edited by:
- Ido Dagan
- Edited by:
- Bernardo Magnini
- Edited by:
- Florence d'Alché-Buc
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- by Joaquin Quinonero-Candela
- by Ido Dagan
- by Bernardo Magnini
- by Florence D'Alché-Buc
- in Nonfiction
- in Art and Architecture
- in Computers and Internet
- in Mathematics and Statistics
- in Philosophy