Items related to Empirical Methods for Artificial Intelligence
Synopsis
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 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. Although many of these techniques are statistical, the book discusses statistics in the context of the broader empirical enterprise. The first three chapters introduce empirical questions, exploratory data analysis, and experiment design. The blunt interrogation of statistical hypothesis testing is postponed until chapters 4 and 5, which present classical parametric methods and computer-intensive (Monte Carlo) resampling methods, respectively. This is one of few books to present these new, flexible resampling techniques in an accurate, accessible manner.
Much of the book is devoted to research strategies and tactics, introducing new methods in the context of case studies. Chapter 6 covers performance assessment, chapter 7 shows how to identify interactions and dependencies among several factors that explain performance, and chapter 8 discusses predictive models of programs, including causal models. The final chapter asks what counts as a theory in AI, and how empirical methods—which deal with specific systems—can foster general theories. Mathematical details are confined to appendixes and no prior knowledge of statistics or probability theory is assumed. All of the examples can be analyzed by hand or with commercially available statistics packages.
The Common Lisp Analytical Statistics Package (CLASP), developed in the author's laboratory for Unix and Macintosh computers, is available from The MIT Press.
A Bradford Book
"synopsis" may belong to another edition of this title.
About the Author
Paul R. Cohen is Associate Professor of Computer Science and Director of the Experimental Knowledge Systems Laboratory at the University of Massachusetts at Amherst.
"About this title" may belong to another edition of this title.
Search results for Empirical Methods for Artificial Intelligence
Stock Image
Empirical Methods for Artificial Intelligence
Published by
Bradford Books (edition ), 1995
ISBN 10: 0262032252
ISBN 13: 9780262032254
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 0262032252-11-1
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence
Seller: KuleliBooks, Phoenix, AZ, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Good. The book may have minor cosmetic wear (i.e. creased spine/cover, scratches, curled corners, folded pages, minor sunburn, minor water damage, minor bent). The book may have some highlights/notes/underlined pages - Accessories such as CD, codes, toys, may not be included - Safe and Secure Mailer - No Hassle Return. Seller Inventory # 521YH0001249
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence
Seller: Better World Books: West, Reno, NV, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Used book that is in clean, average condition without any missing pages. Seller Inventory # 15500446-20
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence
Seller: HPB-Diamond, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_448831276
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Seller Inventory # GRP102693071
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780262032254. Seller Inventory # 9898639
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence (A Bradford Book)
Seller: Studibuch, Stuttgart, Germany
Seller rating 5 out of 5 stars
hardcover. Condition: Sehr gut. 422 Seiten; 9780262032254.2 Gewicht in Gramm: 2. Seller Inventory # 991465
Quantity: 1 available
Stock Image
Empirical Methods for Artificial Intelligence
Seller: Toscana Books, AUSTIN, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned0262032252
Quantity: 1 available