27 search results - page 2 / 6 » An information theoretic analysis of maximum likelihood mixt... |
DSMML
2004
Springer
13 years 9 months ago
2004
Springer
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
VLSISP
1998
13 years 5 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
IDA
2009
Springer
14 years 16 days ago
2009
Springer
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelih...
CSDA
2006
13 years 6 months ago
2006
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
CLASSIFICATION
2007
13 years 6 months ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...