Items related to Statistical Mechanics of Learning
Synopsis
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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Book Description
Learning is natural activity, and it has always been a challenge for us to understand the process. Artificial neural networks provide a simple framework in which learning from examples may be described and understood. The authors provide a coherent account of various important concepts and techniques of statistical mechanics and their application to learning theory, supplement this with background material in mathematics and physics and include many examples and exercises to make a book that can be used with courses, or for self-teaching, or as a handy reference.
Review
"...they give an exceptionally lucid account not only of what we have learned but also of how the calculations are done...Given the highly techinical nature of the calculations, the presentation is miraculously clear, even elegant. Although I have worked on these problems myself, I found, in reading the chapters, that I kept getting new insights...I highly recommend this book as a way to learn what statistical mathematics can say about an important basic problem." Physics Today
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Statistical Mechanics of Learning
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Cambridge University Press, 2001
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ISBN 13: 9780521773072
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Statistical Mechanics of Learning
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Condition: New. Artificial neural networks, learning, statistical mechanics; background material in mathematics and physics; examples and exercises; textbook/reference. Num Pages: 342 pages, 1 table 136 exercises. BIC Classification: UYA; UYQM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 181 x 254 x 20. Weight in Grams: 828. . 2001. 1st Edition. hardcover. . . . . Seller Inventory # V9780521773072
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Statistical Mechanics of Learning
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Statistical Mechanics of Learning
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Statistical Mechanics of Learning
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Hardback. Condition: New. Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another dimension as we try to build machines that are able to learn and to undertake tasks such as datamining, image processing and pattern recognition. We can formulate a simple framework, artificial neural networks, in which learning from examples may be described and understood. The contribution to this subject made over the last 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 to make a book that can be used with courses, or for self-teaching, or as a handy reference. Seller Inventory # LU-9780521773072
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Statistical Mechanics of Learning (Hardcover)
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Hardcover. Condition: new. Hardcover. Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another dimension as we try to build machines that are able to learn and to undertake tasks such as datamining, image processing and pattern recognition. We can formulate a simple framework, artificial neural networks, in which learning from examples may be described and understood. The contribution to this subject made over the last 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 to make a book that can be used with courses, or for self-teaching, or as a handy reference. Artificial neural networks provide a simple framework for describing learning from examples. This account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521773072
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Statistical Mechanics of Learning
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Cambridge University Press, 2001
ISBN 10: 0521773075
ISBN 13: 9780521773072
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Condition: New. Artificial neural networks, learning, statistical mechanics; background material in mathematics and physics; examples and exercises; textbook/reference. Num Pages: 342 pages, 1 table 136 exercises. BIC Classification: UYA; UYQM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 181 x 254 x 20. Weight in Grams: 828. . 2001. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521773072
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Statistical Mechanics of Learning
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathe. Seller Inventory # 446946664
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