Empirical Methods for Artificial Intelligence

Name: Empirical Methods for Artificial Intelligence
Price: 24.48 USD
Availability: InStock
ISBN: 9780262032254

ISBN-10: 0262032252

ISBN-13: 9780262032254

Edition: 1995

Authors: Paul R. Cohen

List price: $94.00

30 day, 100% satisfaction guarantee!

Marketplace

2 new & used from $24.48

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

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…

Book details

List price: $94.00
Copyright year: 1995
Publisher: MIT Press
Publication date: 8/3/1995
Binding: Hardcover
Pages: 422
Size: 8.75" wide x 9.50" long x 1.25" tall
Weight: 2.486
Language: English



Preface


Acknowledgments



Empirical Research



Exploratory Data Analysis



Basic Issues in Experiment Design



Hypothesis Testing and Estimation



Computer-Intensive Statistical Methods



Performance Assessment



Explaining Performance: Interactions and Dependencies



Modeling



Tactics for Generalization


References


Index