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Statistical mechanics of learning

The effort to build machines that are able to learn and undertake tasks such as datamining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over th...

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Detalles Bibliográficos
Autores principales: Engel, Andreas, Van den Broeck, C
Lenguaje:eng
Publicado: Cambridge Univ. Press 2001
Materias:
Acceso en línea:http://cds.cern.ch/record/634018
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author Engel, Andreas
Van den Broeck, C
author_facet Engel, Andreas
Van den Broeck, C
author_sort Engel, Andreas
collection CERN
description The effort to build machines that are able to learn and undertake tasks such as datamining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over the past decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics, and include many examples and exercises.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2001
publisher Cambridge Univ. Press
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spelling cern-6340182021-04-22T02:37:56Zhttp://cds.cern.ch/record/634018engEngel, AndreasVan den Broeck, CStatistical mechanics of learningComputing and ComputersThe effort to build machines that are able to learn and undertake tasks such as datamining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over the past decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics, and include many examples and exercises.Cambridge Univ. Pressoai:cds.cern.ch:6340182001
spellingShingle Computing and Computers
Engel, Andreas
Van den Broeck, C
Statistical mechanics of learning
title Statistical mechanics of learning
title_full Statistical mechanics of learning
title_fullStr Statistical mechanics of learning
title_full_unstemmed Statistical mechanics of learning
title_short Statistical mechanics of learning
title_sort statistical mechanics of learning
topic Computing and Computers
url http://cds.cern.ch/record/634018
work_keys_str_mv AT engelandreas statisticalmechanicsoflearning
AT vandenbroeckc statisticalmechanicsoflearning