40 search results - page 3 / 8 » Learning biological network using mutual information and con... |
BMCBI
2010
13 years 5 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Network Coding (NC) can be efficiently combined with the "physical layer broadcast" property of wireless mediums to facilitate mutual exchange of independent information...
ISNN
2007
Springer
13 years 11 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
AI
2002
Springer
13 years 5 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...