Design and Analysis of Learning Classifier Systems : A Probabilistic Approach
Publication Date: 2008
ISBN: 978-3-540-79866-8
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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 spaces into easy-to-handle subproblems.
Subject: Engineering, Analysis, algorithm, algorithms, evolution, evolutionary computation, learning, machine learning, model, reinforcement learning, Artificial Intelligence, Mathematical and Computational Engineering
