HOME > Detail View

Detail View

Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design

Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design

Material type
단행본
Personal Author
Butz, Martin V.
Title Statement
Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design / Martin V. Butz.
Publication, Distribution, etc
Berlin :   Springer ,   c2006.  
Physical Medium
xxi, 266 p. : ill. ; 24 cm.
Series Statement
Studies in fuzziness and soft computing ; v. 191
ISBN
3540253793 (hd.bd.)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Machine learning.
000 01230camuu2200349ia 4500
001 000045283202
005 20060731140405
008 051202s2006 gw a b 001 0 eng d
016 7 ▼a 973930446 ▼2 GyFmDB
020 ▼a 3540253793 (hd.bd.)
024 3 ▼a 9783540253792
029 0 ▼a OHX ▼b har050028860
040 ▼a OHX ▼c OHX ▼d HNK ▼d BAKER ▼d IXA ▼d 211009
049 ▼a KUBA
050 0 0 ▼a Q325.5 ▼b .B87 2006
072 7 ▼a LB ▼2 lcco
072 7 ▼a BF ▼2 lcco
072 7 ▼a TK ▼2 lcco
082 0 4 ▼a 006.31 ▼2 22
090 ▼a 006.31 ▼b B989r
100 1 ▼a Butz, Martin V.
245 1 0 ▼a Rule-based evolutionary online learning systems : ▼b a principled approach to LCS analysis and design / ▼c Martin V. Butz.
260 ▼a Berlin : ▼b Springer , ▼c c2006.
300 ▼a xxi, 266 p. : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Studies in fuzziness and soft computing ; ▼v v. 191
504 ▼a Includes bibliographical references and index.
650 0 ▼a Machine learning.
938 ▼a Otto Harrassowitz ▼b HARR ▼n har050028860 ▼c 96.25 EUR
938 ▼a Baker & Taylor ▼b BKTY ▼c 119.00 ▼d 119.00 ▼i 3540253793 ▼n 0006412407 ▼s active
945 ▼a KINS
994 ▼a C0 ▼b KUB

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 B989r Accession No. 121130577 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Prerequisites.- Simple Learning Classifier Systems.- The XCS Classifier System.- How XCS Works: Ensuring Effective Evolutionary Pressures.- When XCS Works: Towards Computational Complexity.- Effective XCS Search: Building Block Processing.- XCS in Binary Classification Problems.- XCS in Multi-Valued Problems.- XCS in Reinforcement Learning Problems.- Facetwise LCS Design.- Towards Cognitive Learning Classifier Systems.- Summary and Conclusions.


Information Provided By: : Aladin

New Arrivals Books in Related Fields

Cartwright, Hugh M. (2021)
한국소프트웨어기술인협회. 빅데이터전략연구소 (2021)