<p><P>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 prob
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach
โ Scribed by Jan Drugowitsch (auth.)
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Leaves
- 267
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Artificial Intelligence (incl. Robotics)
๐ SIMILAR VOLUMES
The main objective is to provide quick and essential knowledge for the subject with the help of summary and solved questions /case studies without going into detailed discussion. This book will be much helpful for the students as a supplementary text/workbook; and to the non-computer professionals,
<p><P>This book offers a comprehensive introduction to learning classifier systems (LCS) โ or more generally, rule-based evolutionary online learning systems. LCSs learn interactively โ much like a neural network โ but with an increased adaptivity and flexibility. This book provides the necessary ba
<p><P>This book offers a comprehensive introduction to learning classifier systems (LCS) โ or more generally, rule-based evolutionary online learning systems. LCSs learn interactively โ much like a neural network โ but with an increased adaptivity and flexibility. This book provides the necessary ba
<P>Taking a unique approach to systems analysis and design, this insightful book provides learners with a critical personal framework for considering and developing knowledge and practice of systems analysis and design. Each chapter begins by highlighting what can be learned on its completion and en