Design and Analysis of Learning Classifier Systems : A Probabilistic Approach
This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. LCS are a family of methods for handling unsupervised learning, supervised learning and sequential decision tasks by decomposing larger problem sp...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Painos: | 1st ed. 2008. |
| Sarja: | Studies in Computational Intelligence
|
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Design and Analysis of Learning Classifier Systems, Texte imprimé, 9783540798651 • Design and Analysis of Learning Classifier Systems, Texte imprimé, 9783642098611 • Design and Analysis of Learning Classifier Systems, Texte imprimé, 9783540872771 • Design and Analysis of Learning Classifier Systems, Texte imprimé, 9783540798651 |
Sisällysluettelo:
- Background A Learning Classifier Systems Model A Probabilistic Model for LCS Training the Classifiers Mixing Independently Trained Classifiers The Optimal Set of Classifiers An Algorithmic Description Towards Reinforcement Learning with LCS Concluding Remarks