73 search results - page 3 / 15 » A statistical learning theory approach of bloat |
BMCBI
2011
13 years 20 days ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
NIPS
2007
13 years 7 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
WWW
2009
ACM
14 years 16 days ago
2009
ACM
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In this paper we survey the primary research, both theoretical and applied, in the area of Robust Optimization (RO). Our focus is on the computational attractiveness of RO approac...
ML
2012
ACM
12 years 1 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...