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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Cambridge Univ. Press
2001
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Acceso en línea: | http://cds.cern.ch/record/634018 |
_version_ | 1780900647752695808 |
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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. |
id | cern-634018 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2001 |
publisher | Cambridge Univ. Press |
record_format | invenio |
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 |