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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
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| Temas: | |
| Acceso en línea: | Texto Completo |
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.