Learning Classifier Systems
From Foundations to Applications
Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluatin…
Mehr
CHF 115.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V103:
Folgt in ca. 5 Arbeitstagen
Produktdetails
Weitere Autoren: Stolzmann, Wolfgang (Hrsg.) / Wilson, Stewart W. (Hrsg.)
- ISBN: 978-3-540-67729-1
- EAN: 9783540677291
- Produktnummer: 3481268
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2000
- Seitenangabe: 364 S.
- Masse: H23.5 cm x B15.5 cm x D1.9 cm 552 g
- Auflage: 2000
- Abbildungen: Paperback
- Gewicht: 552
9 weitere Werke von Pier L. (Hrsg.) Lanzi:
Bewertungen
Anmelden