BOOKS by Christopher M. Bishop
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Pattern Recognition and Machine Learning
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Christopher M Bishop
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing ...
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Neural Networks for Pattern Recognition
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Christopher M Bishop
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer ...
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Snowmobile Handbook
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The Nichols/Chilton, Christopher M Bishop (Editor)
Covers service, theory and maintenance, offering all the basic information a novice rider needs and serving as a great reference source for the experienced snowmobiler. It also provides a guide to selecting, buying and installing riding gear and accessories. (Keywords: General-Interest Manuals)
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Pulsed Neural Networks
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Wolfgang Maass (Editor), Christopher M Bishop (Editor)
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing ...
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Neural networks and machine learning
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Christopher M. Bishop
In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern recognition, and make use of feedforward network architectures such as the multilayer perceptron and the radial basis function network. Also, it has become ...
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