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» Model-based clustering for longitudinal data
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EPIA
2005
Springer
13 years 10 months ago
User Group Profile Modeling Based on User Transactional Data for Personalized Systems
In this paper, we propose a framework named UMT (User-profile Modeling based on Transactional data) for modeling user group profiles based on the transactional data. UMT is a gener...
Yiling Yang, Nuno C. Marques
JMLR
2002
111views more  JMLR 2002»
13 years 4 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
13 years 4 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
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...
Chris Fraley, Adrian E. Raftery
IPPS
2006
IEEE
13 years 10 months ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan
CVPR
2004
IEEE
14 years 6 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic