Mozer michael c (26 Ergebnisse)

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Légères traces d'usure sur la couverture. Couverture différente. Edition 1991. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slightly creased cover. Slight signs of wear on the cover. Different cover. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations.…

Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

gebundene Ausgabe. Zustand: Gut. 217 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 501.…

Hardcover. Zustand: Good. no dust jacket. Bound in blue cloth with gilt lettering and design on the front cover and spine. The cloth shows light scuffing and small white marks to the front and rear panels. Spine ends and corners are lightly rubbed. The binding is firm. Internal pages are clean and bright without markings or inscriptions. No dust jacket.…

Zustand: Good. . Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Hardcover. Zustand: Near Fine. Dust Jacket Included. 217 pages, some figures in the text, a near-fine hardback in a like dust-jacket [0262132702].

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2250grams, ISBN:0262201070. …

Zustand: very good. Cambridge, MA : The MIT Press, 1991. Hardcover. Dustjacket. 217 pp."A Bradford book."English text. Condition : very good, clean & unrea. Condition : very good copy. ISBN 9780262132701. Keywords : .

Zustand: New. [ak 6770 a424-1531].

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New. pp. 880.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 880.

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 424.

Buch. Zustand: Neu. Neuware - This collection of papers covers research in the field of neural networks. Although summer school has always leaned towards cognitive science and artificial intelligence, the diverse backgrounds of participants reflects the broad spectrum of areas contributing to neural networks.…

Zustand: New.

Zustand: New. Paul Smolensky, Michael C. Mozer, David E. RumelhartRecent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few speci.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 1st edition. 880 pages. 9.50x6.50x1.75 inches. In Stock.

Buch. Zustand: Neu. Neuware - Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics. Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as: \* Exactly what mathematical systems are used to model neural networks from the given perspective \* What formal questions about neural networks can then be addressed \* What are typical results that can be obtained and \* What are the outstanding open problems A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.…

orig.boards Minor rubbing. Small light stain to front flyleaf. VG. 26x18cm, xviii,1098 pp Contains 155 papers concerning Cognitive Science; Neuroscience; Theory; Algorithms & Architecture; Implementation; Speech, Handwriting, & Signal Processing; Visual Processing; Applications; Control, Navigation & Planning. Includes: Temporal Low-Order Statistics of Natural Sounds; A Hierarchical Model of Visual Rivalry; The Learning Dynamics of a Universal Approximator; Microscopic Equations in Rough Energy; Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo; Probabilistic Interpretation of Population Codes; Visual Cortex Circuitry & Orientation Training; etc. Minor rubbing. Small light stain to front flyleaf. VG.…