MARC details
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
100321s2010 flua 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2009019804 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781439803691 (hc : alk. paper) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(Sirsi) u5502 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-CaNU |
| Transcribing agency |
EG-CaNU |
| Modifying agency |
EG-CaNU |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
ncode |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Iba, Hitoshi. |
| 9 (RLIN) |
10947 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Applied genetic programming and machine learning / |
| Statement of responsibility, etc. |
Hitoshi Iba, Topon Kumar Paul, Yoshihiko Hasegawa. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boca Raton : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
c2010. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxvi, 327 p. : |
| Other physical details |
ill. ; |
| Dimensions |
25 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
The CRC Press international series on computational intelligence |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Genetic Programming -- Numerical Approach to Genetic Programming -- Classification by Ensemble of Genetic Programming Rules -- Probabilistic Program Evolution. |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Reflecting rapidly developing concepts and newly emerging paradigms in intelligent machines, this text is the first to integrate genetic programming and machine learning techniques to solve diverse real-world tasks.These tasks include financial data prediction, day-trading rule development; and bio-marker selection. Written by a leading authority, this text will teach readers how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source codes and GUIs are available for download from the author's website |
| 596 ## - |
|---|
| -- |
1 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
107 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Genetic programming (Computer science) |
| 9 (RLIN) |
479 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Hasegawa, Yoshihiko. |
| 9 (RLIN) |
10949 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Paul, Topon Kumar. |
| 9 (RLIN) |
10948 |
| 920 ## - |
|---|
| -- |
1439803692 (hc : alk. paper) |