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Algorithms for Regression and Classification Robin Nunkesser
Algorithms for Regression and Classification
Robin Nunkesser
The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust regression, new exact algorithms, results for robust online scale estimation, and an evolutionary computation algorithm for different estimators in higher dimensions are presented. For classification in genetic association studies, this thesis describes a Genetic Programming algorithm that outpeforms the standard approaches on the considered data sets.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 9, 2009 |
| ISBN13 | 9783837096040 |
| Publishers | BoD |
| Pages | 154 |
| Dimensions | 150 × 220 × 10 mm · 276 g |
| Language | English |