1183 search results - page 57 / 237 » Learning Process Models with Missing Data |
165
Voted
FOIKS
2008
Springer
15 years 11 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
125
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
259
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DSP
2007
15 years 2 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
168
Voted
ICTAI
2010
IEEE
14 years 12 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
102
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CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...