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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

  • Conference proceedings
  • © 2006

Access provided by Autonomous University of Puebla

Overview

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)

Included in the following conference series:

Conference proceedings info: MLCW 2005.

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Keywords

Table of contents (25 papers)

Other volumes

  1. Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment

Editors and Affiliations

  • Max Planck Institute for Biological Cybernetics, Tübingen, Germany

    Joaquin Quiñonero-Candela

  • Bar Ilan University, Ramat Gan, Israel

    Ido Dagan

  • ITC-IRST, Trento, Italy

    Bernardo Magnini

  • Université d’Evry-Val d’Essonne, IBISC CNRS FRE 2873 and GENPOLE, Evry, France

    Florence d’Alché-Buc

Bibliographic Information

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