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Non-Standard Parameter Adaptation for Exploratory Data Analysis

Language EnglishEnglish
Book Paperback
Book Non-Standard Parameter Adaptation for Exploratory Data Analysis Wesam Ashour Barbakh
Libristo code: 01659507
Publishers Springer, Berlin, November 2012
A review of standard algorithms provides the basis for more complex data mining techniques in this o... Full description
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A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.

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About the book

Full name Non-Standard Parameter Adaptation for Exploratory Data Analysis
Author Wesam Ashour Barbakh, Ying Wu, Colin Fyfe
Language English
Binding Book - Paperback
Date of issue 2013
Number of pages 223
EAN 9783642260551
ISBN 3642260551
Libristo code 01659507
Publishers Springer, Berlin
Weight 373
Dimensions 155 x 235 x 12

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Mathematics & Science > Mathematics > Applied mathematics
Technology, Engineering, Agriculture > Technology: general issues > Maths for engineers
Computing & Information Technology > Databases > Data mining
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