69 search results - page 4 / 14 » A semi-dependent decomposition approach to learn hierarchica... |
BMCBI
2006
13 years 7 months ago
2006
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
JMLR
2006
13 years 7 months ago
2006
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
COLING
2002
13 years 7 months ago
2002
In order to respond correctly to a free form factual question given a large collection of texts, one needs to understand the question to a level that allows determining some of th...
DAWAK
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...