Parallel Models Associative Memory (25 results)

Condition: new.

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Condition: Very Good. Clean sturdy unmarked copy. Trident stamp on front free page. Mild surface wear on front cover. RC.

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. 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,650grams, ISBN:0805802703.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. pp. 352.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In.

Condition: New. pp. 352.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condition: Very good-. First Edition. Very good-. Text clean, minor library marks including label to spine, stamp to fore-edge. A significant collection of connectionist papers preceding Rumelhart & McClelland's Parallel Distributed Processing. Edited by Nobel laureate Hinton, whose essay on semantic networks in parallel hardware argues for distributed symbolic representations, anticipating modern neural networks and LLMs.…

Paperback. Condition: Brand New. 1st edition. 352 pages. 9.25x6.25x1.00 inches. In Stock.

Taschenbuch. Condition: Neu. Parallel Models of Associative Memory | Updated Edition | Geoffrey E. Hinton (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1989 | Psychology Press | EAN 9780805802702 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Condition: gut. 1981. Parallel Models of Human Associative Memory In englischer Sprache. pages.

Hardcover. Condition: new. New Copy. Customer Service Guaranteed.

Condition: New. pp. 352 This item is printed on demand.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going. 350 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Geoffrey E. Hinton, James A. AndersonThis update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of apply.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.…