Devroye luc laszlo gyorfi (15 Ergebnisse)

Zustand: like_new. The cover shows no damage or marks! Ship within 24 hours!.

Hardcover. Zustand: Good. No Dust Jacket. First Edition. An ex-library copy in original dark blue cloth lettered in gold. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket. Book.

Zustand: New. In English.

Zustand: New.

Hardcover. Octavo, xi, 356 pages. In Very Good condition with a Very Good minus dust jacket. Spine is green with white print. Dust jacket has age toning overall, vendor label on rear panel. Boards in blue cloth with green banner, gold print. NOTE: Shelved in Locked Annex Area, ND-HV Section. 1396969. FP New Rockville Stock. …

Zustand: New.

Zustand: New. In English.

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Zustand: As New. Unread book in perfect condition.

Hardback. Zustand: New. 1st ed. 1996. Corr. 2nd printing 1997. Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.…

Hardback. Zustand: New. 1st ed. 1996. Corr. 2nd printing 1997. Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and ex. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and ex. …