2963 search results - page 63 / 593 » On Fitting Mixture Models |
LOPSTR
1994
Springer
14 years 1 months ago
1994
Springer
The unfold/fold transformation system defined by Tamaki and Sato was meant for definite programs. It transforms a program into an equivalent one in the sense of both the least tter...
BMEI
2009
IEEE
13 years 10 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
KDD
2007
ACM
14 years 3 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
TMI
2010
13 years 3 months ago
2010
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...