Machine Learning Challenges
Author:   Joaquin Quinonero-Candela ,  Ido Dagan ,  Bernardo Magnini
Publisher:   Springer
ISBN:  

9783540822752


Pages:   484
Publication Date:   26 August 2008
Format:   Undefined
Availability:   Out of stock   Availability explained


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Machine Learning Challenges


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Overview

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.

Full Product Details

Author:   Joaquin Quinonero-Candela ,  Ido Dagan ,  Bernardo Magnini
Publisher:   Springer
Imprint:   Springer
Dimensions:   Width: 23.40cm , Height: 2.50cm , Length: 15.60cm
Weight:   0.671kg
ISBN:  

9783540822752


ISBN 10:   3540822755
Pages:   484
Publication Date:   26 August 2008
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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