Design and Analysis of Learning Classifier Systems A Probabilistic Approach /

• Κύριος συγγραφέας: Drugowitsch, Jan (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Computational Intelligence, 139
• Θέματα: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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...

Πίνακας περιεχομένων:

• 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.