1419 search results - page 18 / 284 » Approximation Methods for Supervised Learning |
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
DOCENG
2004
ACM
14 years 2 months ago
2004
ACM
We consider the problem of document conversion from the renderingoriented HTML markup into a semantic-oriented XML annotation defined by user-specific DTDs or XML Schema descrip...
NIPS
2007
13 years 10 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...
ICMLC
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
JMLR
2010
13 years 3 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...