Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine . / Lecture Notes in Artificial Intelligence)

Quinonero-Candela, Joaquin [Editor]; Dagan, Ido [Editor]; Magnini, Bernardo [Editor]; d'Alché-Buc, Florence [Editor];

ISBN 10: 3540334270 / ISBN 13: 9783540334279

Published by Springer, 2006

About this Item

Ex-library paperback in very nice condition with the usual markings and attachments.

Seller Inventory # DA1411325

Bibliographic Details

• Title: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine . / Lecture Notes in Artificial Intelligence)
• Publisher: Springer
• Publication Date: 2006
• Language: English
• ISBN 10: 3540334270
• ISBN 13: 9783540334279
• Binding: Paperback
• Condition: Very Good
• Weight: 62 ounces

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.