119 search results - page 5 / 24 » Sparse kernel methods for high-dimensional survival data |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
JMLR
2008
13 years 7 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
BMCBI
2007
13 years 7 months ago
2007
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
JMLR
2006
13 years 7 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
NIPS
2007
13 years 8 months ago
2007
We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse line...