SDM
2011
SIAM
13 years 11 months ago
2011
SIAM
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
ACL
2001
14 years 10 months ago
2001
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
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AAAI
2008
14 years 11 months ago
2008
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
ICANN
2005
Springer
15 years 2 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
IJCNN
2006
IEEE
15 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...