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Phase Transitions in Machine Learning

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Title: Phase Transitions in Machine Learning
Description: Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.
Authors: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Resource Type: eBook.
Subjects: Machine learning, Phase transformations (Statistical physics)
Categories: COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Availability: 0
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PubType: eBook
PubTypeId: ebook
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  Data: Phase Transitions in Machine Learning
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  Data: Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.
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  Data: <searchLink fieldCode="AR" term="%22Lorenza+Saitta%22">Lorenza Saitta</searchLink><br /><searchLink fieldCode="AR" term="%22Attilio+Giordana%22">Attilio Giordana</searchLink><br /><searchLink fieldCode="AR" term="%22Antoine+Cornuéjols%22">Antoine Cornuéjols</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Phase+transformations+%28Statistical+physics%29%22">Phase transformations (Statistical physics)</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.31
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Phase transformations (Statistical physics)
        Type: general
    Titles:
      – TitleFull: Phase Transitions in Machine Learning
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lorenza Saitta
      – PersonEntity:
          Name:
            NameFull: Attilio Giordana
      – PersonEntity:
          Name:
            NameFull: Antoine Cornuéjols
      – PersonEntity:
          Name:
            NameFull: Lorenza Saitta
      – PersonEntity:
          Name:
            NameFull: Attilio Giordana
      – PersonEntity:
          Name:
            NameFull: Antoine Cornuéjols
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2011
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521763912
            – Type: isbn-electronic
              Value: 9781139092869
          Titles:
            – TitleFull: Phase Transitions in Machine Learning
              Type: main
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