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Non-standard Parameter Adaptation for Exploratory Data Analysis - Studies in Computational Intelligence Wesam Ashour Barbakh 2009 edition
Non-standard Parameter Adaptation for Exploratory Data Analysis - Studies in Computational Intelligence
Wesam Ashour Barbakh
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.
234 pages, 38 black & white tables, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 14 mars 2012 |
| ISBN13 | 9783642260551 |
| Éditeurs | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 234 |
| Dimensions | 156 × 234 × 12 mm · 340 g |
| Langue et grammaire | Anglais |