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Statistical Mechanics of Learning
A. Engel , and C. Van den Broeck
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback
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ASIN: 0521774799 |
Book 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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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.
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Structural Reliability: Statistical Learning Perspectives (Lecture Notes in Applied and Computational Mechanics)
Jorge E. Hurtado
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover
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ASIN: 3540219633 |
Book Description
This monograph presents an original approach to structural reliability from the perspective of statistical learning theory. It proposes new methods for solving the reliability problem utilizing the recent developments in computational learning theory, such as neural networks and support vector machines. It also demonstrates important issues on the management of samples in Monte Carlo simulation for structural reliability analysis purposes and examines the treatment of the structural reliability problem as a pattern recognition or classification task. This carefully written monograph is aiming at researchers and students in civil and mechanical engineering, especially in reliability engineering, structural analysis, or statistical learning.
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Statistical Mechanics of Learning.
A. And C. Van Den Broeck Engel
Manufacturer: Cambridge U. Pr.
ProductGroup: Book
Binding: Hardcover
ASIN: B000N67CSY |
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