474 search results - page 21 / 95 » The Bayesian Structural EM Algorithm |
SAC
2010
ACM
13 years 3 months ago
2010
ACM
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
ICIP
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
CEC
2010
IEEE
13 years 9 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...
ICTAI
2008
IEEE
14 years 3 months ago
2008
IEEE
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
CSDA
2008
13 years 8 months ago
2008
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...