ICTAI
2010
IEEE
13 years 9 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
PAMI
2002
14 years 3 days ago
2002
PAMI
2008
14 years 11 days ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
WSC
1998
14 years 1 months ago
1998
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
42
Voted
ACL
1997
14 years 1 months ago
1997
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...