Welcome to Air University Central Library and Fazaia Medical College Library. (Sign in with Your email. Your user name is the same as your student ID number or Employee ID number for password, please contact Circulation Staff)

Empirical methods for artificial intelligence / (Record no. 897)

MARC details
000 -LEADER
fixed length control field 02487nam a2200217 a 4500
001 - CONTROL NUMBER
control field ASIN0262032252
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190522112821.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111031s1995 xxu eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0262032252 (hardcover)
Terms of availability $85.00
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262032254 (hardcover)
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3072
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cohen, Paul R.
245 10 - TITLE STATEMENT
Title Empirical methods for artificial intelligence /
Statement of responsibility, etc. Paul R. Cohen.
250 ## - EDITION STATEMENT
Edition statement First Edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. [S.l.] :
Name of publisher, distributor, etc. The MIT Press,
Date of publication, distribution, etc. 1995.
300 ## - PHYSICAL DESCRIPTION
Extent 421 p. ;
Dimensions 23 cm.
490 1# - SERIES STATEMENT
Series statement Bradford books.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Bradford books.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Amazon.com
Uniform Resource Identifier <a href="http://www.amazon.com/exec/obidos/ASIN/0262032252/chopaconline-20">http://www.amazon.com/exec/obidos/ASIN/0262032252/chopaconline-20</a>
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification       Air University Central Library Islamabad Air University Central Library Islamabad Computer Science 10/30/2011   006.3 COH P3910 10/30/2011 10/30/2011 Book
Air University Sector E-9, Islamabad Paksitan
Email: librarian@au.edu.pk  Tel : +0092 51 9262612 Ext: 631