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Learning from Data by Vladimir Cherkassky

Description: Learning from Data: Concepts, Theory, and Methods (Adaptive and Learning Systems for Signal Processing, Communications and conTrol Series) 1st Edition 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.

Price: 44.88 USD

Location: Hinesville, Georgia

End Time: 2024-11-10T03:34:43.000Z

Shipping Cost: 4.99 USD

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Learning from Data by Vladimir CherkasskyLearning from Data by Vladimir CherkasskyLearning from Data by Vladimir CherkasskyLearning from Data by Vladimir Cherkassky

Item Specifics

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Number of Pages: 464 Pages

Publication Name: Learning from Data : concepts, Theory, and Methods

Language: English

Publisher: Wiley & Sons, Incorporated, John

Item Height: 1.1 in

Publication Year: 1998

Subject: Data Modeling & Design, Neural Networks, System Theory

Type: Textbook

Item Weight: 27.2 Oz

Item Length: 9.5 in

Subject Area: Computers, Science

Author: Vladimir S. Cherkassky, FiLIP Mulier

Item Width: 6.2 in

Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser.

Format: Hardcover

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