1037 search results - page 2 / 208 » Learning of Boolean Functions Using Support Vector Machines |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
JMLR
2002
13 years 4 months ago
2002
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
ALT
2000
Springer
14 years 2 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...