12 search results - page 2 / 3 » Using Tsallis entropy into a Bayesian network for CBIR |
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
ICML
2008
IEEE
14 years 6 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...
IDEAL
2000
Springer
13 years 8 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
UAI
1996
13 years 6 months ago
1996
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
PERVASIVE
2009
Springer
14 years 1 days ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...