Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and.
Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science) pdf
Pier L. Lanzi Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science) free
Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science) ipod
Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science) pdf download
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