318 search results - page 25 / 64 » Learning subspace kernels for classification |
FLAIRS
2004
13 years 10 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
CVPR
2010
IEEE
14 years 2 days ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
WWW
2007
ACM
14 years 9 months ago
2007
ACM
Web pages are more than text and they contain much contextual and structural information, e.g., the title, the meta data, the anchor text, etc., each of which can be seen as a dat...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...