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...
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| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2008.
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| Colección: | Studies in Computational Intelligence ;
139. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33036639*spi |
Tabla de Contenidos:
- 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.
