474 search results - page 10 / 95 » The Bayesian Structural EM Algorithm |
ISBI
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
PKDD
2005
Springer
14 years 2 months ago
2005
Springer
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
FTTCS
2006
13 years 8 months ago
2006
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...