Pattern recognition basis von tveter donald (12 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Sehr gut. XIV, 369 Seiten, Zust: Gutes Exemplar. Mit Vorbesitzereintrag. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 822 gebundene Ausgabe gebundene Ausgabe.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 388 | Sprache: Englisch | Produktart: Bücher | The book is organized in a manner in which the reader will get an intuitive feeling for the principles of AI. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. The book can serve as a text for juniors, seniors and first year graduate students in Computer Science or Psychology and includes sample problems and data for exercises and a list of frequently asked questions.…

Zustand: New. In English.

Zustand: New. pp. 388.

Paperback. Zustand: Brand New. 369 pages. 10.50x7.50x1.00 inches. In Stock.

Zustand: New. Num Pages: 388 pages, Illustrations. BIC Classification: UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 190 x 20. Weight in Grams: 661. . 1998. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Zustand: Neu. Neuware - This book takes the viewpoint that plain symbol processing techniques have little hope of reproducing the depth and breadth of capabilities found in human beings. The book introduces new foundational principles to AI: connectionist/neural networking methods, case based and memory based methods and picture processing. The book looks at methods of AI as different ways of doing pattern recognition. One way to do pattern recognition is to compare a problem to stored cases. At the other end of the spectrum, Classical Symbol Processing AI compresses cases down to a small set of rules and then works only with this condensed knowledge. In between these two extremes are neural networks, especially backprop type networks. As much as possible the book compares these three basic methods using actual AI programs. The structure of the book starts at the bottom of human abilities with vision and other simple pattern recognition abilities and moves on to the higher levels of problem solving and game playing and finally to the level of natural language and understanding of the world. At the higher levels more complex computer architectures are needed that include methods for structuring thoughts. The book is organized in a manner in which the reader will get an intuitive feeling for the principles of AI. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. The book can serve as a text for juniors, seniors and first year graduate students in Computer Science or Psychology and includes sample problems and data for exercises and a list of frequently asked questions.…

Zustand: gut. 1998. Pattern Recognition Basis of AI (Practitioners) In englischer Sprache. pages.

Zustand: Very Good. Los Alamitos, CA: IEEE Computer Society, 1998. Sm 4to hardcover. xiv+369pp. Illustrations. Very Good book. Light foxing on top edge. (Artificial Intelligence, Pattern Perception) Inquire if you need further information.