1340 search results - page 81 / 268 » Structure learning of Bayesian networks using constraints |
110
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ICASSP
2007
IEEE
15 years 6 months ago
2007
IEEE
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
100
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ISNN
2007
Springer
15 years 6 months ago
2007
Springer
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
102
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CVIU
2006
14 years 12 months ago
2006
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
NIPS
2008
15 years 1 months ago
2008
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...