1742 search results - page 139 / 349 » A Framework for Network Modeling in Prolog |
106
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UAI
2004
15 years 5 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
154
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
153
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JSAC
1998
15 years 4 months ago
1998
Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
161
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ENTCS
2007
15 years 4 months ago
2007
We suggest a formal model to represent and solve the multicast routing problem in multicast networks. To attain this, we model the network adapting it to a weighted and-or graph, ...
138
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IJON
2007
15 years 4 months ago
2007
Many conceptual studies of local cortical networks assume completely random wiring. For spatially extended networks, however, such random graph models are inadequate. The geometry...