9780521865593 - Learning Theory: An Approximation Theory Viewpoint di Cucker, Felipe; Zhou, Ding Xuan (14 risultati)

Condizione: New.

Condizione: New. In.

Condizione: New. pp. xii + 224.

Hardcover. Condizione: Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Condizione: New. A general overview of theoretical foundations; the first book to emphasize the approximation theory viewpoint. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 238 pages, 20 b/w illus. BIC Classification: UYA. Category: (P) Professional & Vocational. Dimension: 236 x 160 x 17. Weight in Grams: 456. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condizione: New. A general overview of theoretical foundations; the first book to emphasize the approximation theory viewpoint. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 238 pages, 20 b/w illus. BIC Classification: UYA. Category: (P) Professional & Vocational. Dimension: 236 x 160 x 17. Weight in Grams: 456. . 2007. 1st Edition. Hardcover. . . . .

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. 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 will attract mathematicians to the problems raised. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Print on Demand pp. xii + 224 Illus.

Condizione: New. PRINT ON DEMAND pp. xii + 224.

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. 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 will attract mathematicians to the problems raised. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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.