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Synopsis
Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative dsicipline, including mathematics, computer science, physics, engineering or biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes on historical background and further reading guide the student into the literature. All mathematical details are included and appendices provide further background material, including probability theory, linear algebra and stochastic processes, making this textbook accessible to a wide audience.
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Review
The book provides an excellent class-tested material for graduate courses in artificial neural networks. It is completely self-contained and includes also thorough introduction to the discussed discipline-specific areas of mathematics...Therefore, this book represents a good reference source of applicable ideas for a wide audience including students, researchers and application specialists as well. (EMS Newsletter graduate courses in artificial neural networks. It is completely self-contained and includes also a thorough introduction to the discussed discipline-specific areas of mathematics.)
Therefore, this book represents a good reference source of applicable ideas for a wide audience including students, researchers and application specialists as well. (EMS Newsletter)
About the Author
A.C.C. Coolen is at Professor of Applied Mathematics, Department of Mathematics, King's College, London. R. Kuehn is at Lecturer in Applied Mathematics, Department of Mathematics, King's College, London.
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- PublisherOUP Oxford
- Publication date2005
- ISBN 10 0198530234
- ISBN 13 9780198530237
- BindingHardcover
- LanguageEnglish
- Number of pages586
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Hardcover. Condition: new. Hardcover. Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative dsicipline, including mathematics, computer science, physics, engineering or biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes onhistorical background and further reading guide the student into the literature. All mathematical details are included and appendices provide further background material, including probability theory,linear algebra and stochastic processes, making this textbook accessible to a wide audience. Provides an account of the modern theory of neural information processing systems. This book includes mathematical details and appendices provide further background material, including probability theory, linear algebra and stochastic processes. It is intended for graduate students from quantitative disciplines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780198530237
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