6610 search results - page 193 / 1322 » Community Structures of Networks |
119
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
123
click to vote
IJAR
2010
15 years 1 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
112
Voted
COGSCI
2010
15 years 28 days ago
2010
Network science provides a new way to look at old questions in cognitive science by examining the structure of a complex system, and how that structure might influence processing....
121
Voted
PIMRC
2008
IEEE
15 years 9 months ago
2008
IEEE
—In this paper, we propose a new control method to cover “holes” in wireless sensor networks. Many applications often face the problem of holes when some sensor nodes are dis...
103
Voted
AUSAI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...