Empirical Methods for Artificial Intelligence

by Paul R. Cohen

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This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data. Computer science and artificial intelligence in particular have no curriculum in research methods, as other sciences do. This book presents empirical methods for studying complex computer programs: exploratory...

Format:Hardcover

Language:English

ISBN:0262032252

ISBN13:9780262032254

Release Date:August 1995

Publisher:Bradford Book

Length:422 Pages

Weight:3.65 lbs.

Dimensions:1.1" x 8.2" x 9.3"

Age Range:18 years and up

Grade Range:Postsecondary and higher

Related Subjects

Artificial Intelligence Computer Science Computers Computers & Technology Human Vision & Language Systems Machine Learning Theory of Computing

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Empirical Methods for Artificial Intelligence

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