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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

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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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 - Quinonero-Candela, Joaquin (Editor), and Dagan, Ido (Editor), and Magnini, Bernardo (Editor)
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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 ...

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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 2006, Springer, Berlin, Heidelberg

ISBN-13: 9783540334279

2006 edition

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