Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine . Papers (Lecture Notes in Computer Science)

Joaquin Qui�onero-Candela, Ido Dagan, Bernardo Magnini, Florence d'Alch�-Buc

ISBN 10: 3540334270 / ISBN 13: 9783540334279

Published by Springer Berlin Heidelberg 2010-06-02, 2010

About this Item

Seller Inventory # 6666-IUK-9783540334279

Bibliographic Details

• Title: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine . Papers (Lecture Notes in Computer Science)
• Publisher: Springer Berlin Heidelberg 2010-06-02
• Publication Date: 2010
• Language: English
• ISBN 10: 3540334270
• ISBN 13: 9783540334279
• Binding: Paperback
• Condition: New

About this title

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.