Strength or Accuracy: Credit Assignment in Learning Classifier Systems
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Beschreibung
A detailed examination of learning classifier systems (LCS), a form of machine learning system, which incorporates both Evolutionary Algorithms and Reinforcement Learning Algorithms.
There are few texts that deal with learning classifier systems at all; most include only a chapter or two on them, and are out of date The study of learning classifier systems has made great progress in the last few years, and is an increasingly active area of research The text is self-contained, and re-examines the subject from first principles Contains introductions to the relevant background material Includes supplementary material: sn.pub/extras
Autor*in
Tim Kovacs
Themen in »Strength or Accuracy: Credit Assignment in Learning Classifier Systems«
algorithms classification evolutionary algorithm intelligence learning machine learning reinforcement learning algorithm analysis and problem complexity
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From the reviews:
"This book is a monograph on learning classifier systems … . The main objective of the book is to compare strength-based classifier systems with accuracy-based systems. … The book is equipped with nine appendices. … The biggest advantage of the book is its readability. The book is well written and is illustrated with many convincing examples." (Jerzy W. Grzymal-Busse, Mathematical Reviews, Issue 2005 k)
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