1547 search results - page 63 / 310 » Randomized Variable Elimination |
126
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
196
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
137
Voted
JMLR
2010
14 years 9 months ago
2010
We present new measures of the causal direction between two non-gaussian random variables. They are based on the likelihood ratio under the linear non-gaussian acyclic model (LiNG...
124
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
111
Voted
APJOR
2010
15 years 29 days ago
2010
This paper provides a fast and accurate randomization algorithm for valuing American puts and calls on dividend-paying stocks and their early exercise boundaries. The primal focus...