Algorithms for Regression and Classification: Robust Regression and Genetic Association Studies
| AUTHOR | Nunkesser, Robin |
| PUBLISHER | Books on Demand (04/09/2009) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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.
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Product Details
ISBN-13:
9783837096040
ISBN-10:
3837096041
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
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Page Count:
154
Carton Quantity:
28
Product Dimensions:
7.00 x 0.33 x 10.00 inches
Weight:
0.61 pound(s)
Country of Origin:
US
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BISAC Categories
Computers | Languages - General
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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.
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