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ENVSOFT
2008
13 years 8 months ago
2008
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
BMCBI
2010
13 years 8 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
AAAI
2008
13 years 11 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
TCBB
2010
13 years 3 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...