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)

By: Bernardo Magnini and Ido Dagan and Joaquin Quinonero-Candela and Florence D'Alché-Buc

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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.

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