91 search results - page 10 / 19 » Adaptive credit scoring with kernel learning methods |
CIKM
2007
Springer
15 years 3 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
BMCBI
2010
14 years 9 months ago
2010
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
COLT
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...