180 search results - page 3 / 36 » Unsupervised Selection and Estimation of Finite Mixture Mode... |
ACL
1997
13 years 6 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...
BMCBI
2005
13 years 5 months ago
2005
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
TCSV
2010
12 years 12 months ago
2010
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
NAACL
2010
13 years 3 months ago
2010
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...