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Foundations of learning classifier systems

Foundations of learning classifier systems (2회 대출)

자료유형
단행본
개인저자
Bull, Larry. Kovacs, Tim 1971-
서명 / 저자사항
Foundations of learning classifier systems / Larry Bull, Tim Kovacs (eds.).
발행사항
Berlin :   Springer-Verlag ,   c2005.  
형태사항
vi, 336 p. : ill. ; 24 cm.
총서사항
Studies in fuzziness and soft computing , 1434-9922 ; v. 183
ISBN
3540250735 (hd.bd.)
서지주기
Includes bibliographical references.
일반주제명
Machine learning. Genetic algorithms. Reinforcement learning (Machine learning)
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245 0 0 ▼a Foundations of learning classifier systems / ▼c Larry Bull, Tim Kovacs (eds.).
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300 ▼a vi, 336 p. : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Studies in fuzziness and soft computing , ▼x 1434-9922 ; ▼v v. 183
504 ▼a Includes bibliographical references.
650 0 ▼a Machine learning.
650 0 ▼a Genetic algorithms.
650 0 ▼a Reinforcement learning (Machine learning)
700 1 ▼a Bull, Larry.
700 1 ▼a Kovacs, Tim ▼d 1971-
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소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.31 F771 등록번호 121121618 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Section 1 - Rule Discovery. Population Dynamics of Genetic Algorithms. Approximating Value Functions in Classifier Systems. Two Simple Learning Classifier Systems. Computational Complexity of the XCS Classifier System. An Analysis of Continuous-Valued Representations for Learning Classifier Systems.- Section 2 - Credit Assignment. Reinforcement Learning: a Brief Overview. A Mathematical Framework for Studying Learning Classifier Systems. Rule Fitness and Pathology in Learning Classifier Systems. Learning Classifier Systems: A Reinforcement Learning Perspective. Learning Classifier Systems with Convergence and Generalization.- Section 3 - Problem Characterization. On the Classification of Maze Problems. What Makes a Problem Hard?


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