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A general overview of theoretical foundations; the first book to emphasize the approximation theory viewpoint.
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Informazioni sugli autori
Felipe Cucker is a Professor of Mathematics at the City University of Hong Kong.
Ding Xuan Zhou is an Associate Professor in the Department of Mathematics at the City University of Hong Kong.
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LEARNING THEORY AN APPROXIMATION THEORY VIEWPOINT (HB 2007)
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LEARNING THEORY AN APPROXIMATION THEORY VIEWPOINT (HB 2007)
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Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
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Learning Theory: An Approximation Theory Viewpoint
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Hardcover. Condizione: Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand. Codice articolo __052186559X
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Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
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Learning Theory: An Approximation Theory Viewpoint
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Learning Theory
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The goal of learning theory is to approximate a function from sample values. This is a general overview of the theoretical foundations, and is the first book to emphasize the approximation theory viewpoint. This emphasis provides a balanced approach, and wi. Codice articolo 446951269
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Learning Theory
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Cambridge University Press CUP, 2007
ISBN 10: 052186559X
ISBN 13: 9780521865593
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. xii + 224. Codice articolo 26405413
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Learning Theory: An Approximation Theory Viewpoint (Hardcover)
Editore:
Cambridge University Press, Cambridge, 2007
ISBN 10: 052186559X
ISBN 13: 9780521865593
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Hardcover. Condizione: new. Hardcover. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521865593
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Learning Theory
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. xii + 224. Codice articolo 18405423
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