1183 search results - page 57 / 237 » Learning Process Models with Missing Data |
151
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FOIKS
2008
Springer
15 years 10 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 $D$...
114
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ICASSP
2011
IEEE
14 years 5 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...
151
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DSP
2007
15 years 1 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...
157
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ICTAI
2010
IEEE
14 years 10 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...
CVPR
2005
IEEE
16 years 3 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...