1183 search results - page 47 / 237 » Learning Process Models with Missing Data |
NECO
2002
15 years 1 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
106
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IJCAI
2003
15 years 2 months ago
2003
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
IDEAL
2009
Springer
15 years 8 months ago
2009
Springer
This paper presents a multiagent architecture constructed for learning from the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carb...
109
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IJON
2010
14 years 12 months ago
2010
We present an EM-algorithm for the problem of learning preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data ...
116
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ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...