824 search results - page 57 / 165 » Learning probabilistic logic models from probabilistic examp... |
134
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MLDM
2007
Springer
15 years 10 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
CORR
2008
Springer
15 years 4 months ago
2008
Springer
In this paper, we propose in Dezert-Smarandache Theory (DSmT) framework, a new probabilistic transformation, called DSmP, in order to build a subjective probability measure from an...
164
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
142
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CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
In this paper, we propose a probabilistic videobased facial expression recognition method on manifolds. The concept of the manifold of facial expression is based on the observatio...
167
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ICRA
2003
IEEE
15 years 9 months ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...