2278 search results - page 31 / 456 » Markov logic networks |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
CSSE
2008
IEEE
14 years 2 months ago
2008
IEEE
—Risk assessment is a very important tool to acquire a present and future security status of the network information system. Many risk assessment approaches consider the present ...
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract-- We consider a wireless system with a small number of delay constrained users and a larger number of users without delay constraints. We develop a scheduling algorithm th...