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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
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Description

This book constitutes the thoroughly refereed post-proceedings of the First PASCAL (pattern analysis, statistical modelling and computational learning) Machine Learning Challenges Workshop, MLCW 2005, held in Southampton, UK in April 2005. The 25 revised full papers presented were carefully selected during two rounds of reviewing and improvement from about 50 submissions. The papers reflect the concepts of three challenges dealt with in the workshop: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; the second challenge was to recognize objects from a number of visual object classes in realistic scenes; the third challenge of recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.
Release date NZ
May 11th, 2006
Audience
  • Professional & Vocational
Contributors
  • Edited by Bernardo Magnini
  • Edited by Florence d'Alche-Buc
  • Edited by Ido Dagan
  • Edited by Joaquin Quinonero-Candela
Illustrations
XIII, 462 p.
Pages
462
Dimensions
155x235x25
ISBN-13
9783540334279
Product ID
5124179

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