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Download The Pattern Recognition Basis of Artificial Intelligence (Practitioners) djvu

by Donald Tveter

Author: Donald Tveter
Subcategory: Computer Science
Language: English
Publisher: Wiley-IEEE Computer Society Pr; 1 edition (March 13, 1998)
Pages: 388 pages
Category: Technologies and Computers
Rating: 4.8
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oceedings{Tveter1997ThePR, title {The pattern recognition basis of artificial intelligence}, author {Donald R. .

oceedings{Tveter1997ThePR, title {The pattern recognition basis of artificial intelligence}, author {Donald R. Tveter}, year {1997} }. Donald R. Tveter. From the Publisher: This book pays extra attention to the new ideas in AI: neural networking, case based reasoning, and memory based reasoning, while including the important aspects of traditional symbol processing AI. As much as possible, these methods are compared with each other so that the reader will see the advantages and disadvantages of each method.

The book looks at methods of AI as different ways of doing pattern recognition. Donald Tveter is the author of The Pattern Recognition Basis of Artificial Intelligence, published by Wiley. 1 Artificial Intelligence. 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.

Author: Donald Tveter. Publication date: August 1997. An introduction to artificial intelligence

Author: Donald Tveter. An introduction to artificial intelligence. Category AI. Category Book. Updated 2011-04-18 13:29:24.

These are the best books on artificial intelligence for beginners, and there also include the free download of PDF files for these .

These are the best books on artificial intelligence for beginners, and there also include the free download of PDF files for these best books. The classic artificial intelligence teaching material. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence.

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Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and .

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning.

Donald Tveter is the author of The Pattern Recognition Basis of Artificial Intelligence, published by Wiley. If you want an start book to read about pattern recognition it is your book. Easy to read with lots of information.

Start by marking Pattern Recognition Basis Artificial Intelligence as Want to Read . This book pays extra attention to the new ideas in AI: neural networking, case based reasoning, and memory based reasoning, while including the important aspects of traditional symbol processing AI.

Start by marking Pattern Recognition Basis Artificial Intelligence as Want to Read: Want to Read savin. ant to Read.

Author of the Pattern Recognition Basis of Artificial Intelligence.

This book takes the viewpoint that plain symbol processingtechniques have little hope of reproducing the depth and breadth ofcapabilities found in human beings. The book introduces newfoundational principles to AI: connectionist/neural networkingmethods, case based and memory based methods and pictureprocessing.The book looks at methods of AI as different ways of doing patternrecognition. One way to do pattern recognition is to compare aproblem to stored cases. At the other end of the spectrum,Classical Symbol Processing AI compresses cases down to a small setof rules and then works only with this condensed knowledge. Inbetween these two extremes are neural networks, especially backproptype networks. As much as possible the book compares these threebasic methods using actual AI programs.The structure of the book starts at the bottom of human abilitieswith vision and other simple pattern recognition abilities andmoves on to the higher levels of problem solving and game playingand finally to the level of natural language and understanding ofthe world. At the higher levels more complex computer architecturesare needed that include methods for structuring thoughts.The book is organized in a manner in which the reader will get anintuitive feeling for the principles of AI. Throughout the bookapplications of basic principles are demonstrated by examining someclassic AI programs in detail. The book can serve as a text forjuniors, seniors and first year graduate students in ComputerScience or Psychology and includes sample problems and data forexercises and a list of frequently asked questions.