Cover of: pattern recognition basis of artificial intelligence | Donald R. Tveter Read Online
Share

pattern recognition basis of artificial intelligence by Donald R. Tveter

  • 928 Want to read
  • ·
  • 19 Currently reading

Published by IEEE Computer Society in Los Alamitos, Calif .
Written in English

Subjects:

  • Artificial intelligence.,
  • Pattern perception.

Book details:

Edition Notes

Includes bibliographical references (p. 337-355) and index.

Other titlesBasis of artificial intelligence
StatementDonald R. Tveter.
Classifications
LC ClassificationsQ335 .T9 1998
The Physical Object
Paginationxiv, 369 p. :
Number of Pages369
ID Numbers
Open LibraryOL685391M
ISBN 100818677961
LC Control Number97032259

Download pattern recognition basis of artificial intelligence

PDF EPUB FB2 MOBI RTF

Get this from a library! The pattern recognition basis of artificial intelligence. [Donald R Tveter] -- 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. Pattern recognition is the automated recognition of patterns and regularities in has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine n recognition has its origins in statistics and engineering; some modern approaches to pattern recognition . This is an interesting book that introduces AI from a pattern recognition point of author attempted and solved many complex problems by neurocomputing approach. He thus emphasizes the need for neural approach in Artificial Intelligence. He however did not eliminate the scope of all conventional approaches.4/5. @inproceedings{TveterThePR, title={The pattern recognition basis of artificial intelligence}, author={Donald R. Tveter}, year={} } 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.

  Since the first use of the term artificial intelligence in , the field of AI has grown and has the attention of all industries, splintered into . This book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example).   A pattern is a short description of the data. Pattern recognition is how agents make predictions, which is a central problem in AI. For example, suppose you observe a bit sequence like If you can recognize the pattern of alternatin. pattern recognition and artificial intelligence culture The aim of Artificial Intelligence (AI) is to stimulate the developments of computer algorithms able to perform the same tasks that are carried out by human intelligence. Some fields of application of AI are automatic problem solving, methods for knowledge.

The Pattern Recognition Basis of Artificial Intelligence is my introduction to AI textbook. It emphasizes some of the newer methods: neural networking, case based and memory based methods while still covering the important symbolic methods and showing how they are all related. Purchase Pattern Recognition and Artificial Intelligence - 1st Edition. Print Book & E-Book. ISBN ,   I don't see the correlation. Pattern recognition is one aspect of intelligence or skill. It reminds me of synonyms of experiencing and profiling. It has the upside for you to see the structure of the story and to solve similar scenarios with one s. R.M. Golden, in International Encyclopedia of the Social & Behavioral Sciences, 2 Applications Artificial Intelligence. Statistical pattern recognition methods have been extensively applied in the field of artificial intelligence. Successful applications of these methods in the field of computer vision include extraction of low-level visual information from visual .