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DKE
2007
88views more  DKE 2007»
13 years 7 months ago
Regression analysis for massive datasets
In this paper, a two-stage block hypothesis testing following the idea of Fan, Lin and Cheng (2004) is proposed for massive data regression analysis. Variables selection criteria ...
Tsai-Hung Fan, Dennis K. J. Lin, Kuang-Fu Cheng
SIGSOFT
2008
ACM
14 years 8 months ago
Explicit exception handling variability in component-based product line architectures
Separation of concerns is one of the overarching goals of exception handling in order to keep separate normal and exceptional behaviour of a software system. In the context of a s...
Ivo Augusto Bertoncello, Marcelo Oliveira Dias, Pa...
JMLR
2006
89views more  JMLR 2006»
13 years 7 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
BMCBI
2008
111views more  BMCBI 2008»
13 years 7 months ago
Comparative optimism in models involving both classical clinical and gene expression information
Background: In cancer research, most clinical variables have already been investigated and are now well established. The use of transcriptomic variables has raised two problems: r...
Caroline Truntzer, Delphine Maucort-Boulch, Pascal...
PRL
2006
180views more  PRL 2006»
13 years 7 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai