2868 search results - page 474 / 574 » Inference in Bayesian Networks |
142
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CORR
2004
Springer
15 years 4 months ago
2004
Springer
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
160
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ICASSP
2009
IEEE
15 years 2 months ago
2009
IEEE
The goal of this research is to infer traits about groups of people from their turn-taking behavior in natural conversation. These traits are latent attributes in a social network...
163
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ICDE
2009
IEEE
15 years 2 months ago
2009
IEEE
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
132
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
163
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JMLR
2010
14 years 11 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...