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
Herausgegeben:Quinonero-Candela, Joaquin; Dagan, Ido; Magnini, Bernardo; d'Alché-Buc, Florence
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
Herausgegeben:Quinonero-Candela, Joaquin; Dagan, Ido; Magnini, Bernardo; d'Alché-Buc, Florence
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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 text understanding.
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- Produktdetails
- Lecture Notes in Computer Science 3944
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 11736790, 978-3-540-33427-9
- 2006
- Seitenzahl: 484
- Erscheinungstermin: 11. Mai 2006
- Englisch
- Abmessung: 235mm x 155mm x 30mm
- Gewicht: 815g
- ISBN-13: 9783540334279
- ISBN-10: 3540334270
- Artikelnr.: 20946936
- Lecture Notes in Computer Science 3944
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 11736790, 978-3-540-33427-9
- 2006
- Seitenzahl: 484
- Erscheinungstermin: 11. Mai 2006
- Englisch
- Abmessung: 235mm x 155mm x 30mm
- Gewicht: 815g
- ISBN-13: 9783540334279
- ISBN-10: 3540334270
- Artikelnr.: 20946936