Articoli correlati a Learning Theory: An Approximation Theory Viewpoint
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A general overview of theoretical foundations; the first book to emphasize the approximation theory viewpoint.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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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 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
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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 (Hardcover)
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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 multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521865593
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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
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 492. Codice articolo C9780521865593
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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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Condizione: New. pp. xii + 224. Codice articolo 26405413
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Learning Theory
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Condizione: New. Print on Demand pp. xii + 224 Illus. Codice articolo 7442554
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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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Prima edizione
Da: CitiRetail, Stevenage, Regno Unito
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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
Quantità: 1 disponibili