55 search results - page 4 / 11 » Maximum Likelihood Estimation of Gaussian Mixture Models Usi... |
EMMCVPR
2003
Springer
14 years 18 days ago
2003
Springer
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
CSDA
2006
13 years 7 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...
QRE
2008
13 years 6 months ago
2008
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
UAI
2003
13 years 8 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
The desirable asymptotic optimality properties of the maximum likelihood (ML) estimator make it an attractive solution for performing independent component analysis (ICA) as well....