An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic This book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one ...
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An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic This book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples, Learning from Data: Relates statistical formulation with the latest methodologies used in artificial neural networks, fuzzy systems, and wavelets Features consistent terminology, chapter summaries, and practical research tips Emphasizes the conceptual framework provided by Statistical Learning Theory (VC-theory) rather than its commonly practiced mathematical aspects Provides a detailed description of the new learning methodology called Support Vector Machines (SVM) This invaluable text/reference accommodates both beginning and advanced graduate students in engineering, computer science, and statistics. It is also indispensable for researchers and practitioners in these areas who must understand the principles and methods for learning dependencies from data.
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Add this copy of Adaptive and Learning Systems for Signal Processing, to cart. $30.78, poor condition, Sold by Anybook rated 4.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 1998 by John Wiley and Sons.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. Book contains pencil markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 850grams, ISBN: 9780471154938.
Add this copy of Learning From Data: Concepts, Theory, and Methods to cart. $24.74, very good condition, Sold by ThriftBooks-Atlanta rated 5.0 out of 5 stars, ships from Austell, GA, UNITED STATES, published 1998 by Wiley-Interscience.
Add this copy of Learning From Data: Concepts, Theory, and Methods to cart. $28.75, good condition, Sold by Big River Books rated 5.0 out of 5 stars, ships from Powder Springs, GA, UNITED STATES, published 1998 by Wiley-Interscience.
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Seller's Description:
This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Add this copy of Learning From Data: Concepts, Theory, and Methods (Hb to cart. $90.21, new condition, Sold by Books International rated 3.0 out of 5 stars, ships from Toronto, ON, CANADA, published 1998 by Wiley-Interscience.
Add this copy of Learning From Data: Concepts, Theory, and Methods (Hb to cart. $115.21, new condition, Sold by Books International rated 3.0 out of 5 stars, ships from Toronto, ON, CANADA, published 1998 by Wiley-Interscience.
