Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3944)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): MLCW: Machine Learning Challenges Workshop
Conference proceedings info: MLCW 2005.
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Table of contents (25 papers)
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Front Matter
Other Volumes
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Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment
Keywords
Editors and Affiliations
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Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Joaquin Quiñonero-Candela
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Bar Ilan University, Ramat Gan, Israel
Ido Dagan
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ITC-IRST, Trento, Italy
Bernardo Magnini
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Université d’Evry-Val d’Essonne, IBISC CNRS FRE 2873 and GENPOLE, Evry, France
Florence d’Alché-Buc
Bibliographic Information
Book Title: Machine Learning Challenges
Book Subtitle: 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
Editors: Joaquin Quiñonero-Candela, Ido Dagan, Bernardo Magnini, Florence d’Alché-Buc
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/11736790
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-33427-9Published: 11 May 2006
eBook ISBN: 978-3-540-33428-6Published: 07 April 2006
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 462
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages, Natural Language Processing (NLP), Image Processing and Computer Vision, Pattern Recognition