3096 search results - page 9 / 620 » Theory and Use of the EM Algorithm |
CAIP
1999
Springer
15 years 4 months ago
1999
Springer
This paper casts the problem of point-set alignment via Procrustes analysis into a maximum likelihood framework using the EM algorithm. The aim is to improve the robustness of the...
102
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ECML
2006
Springer
15 years 3 months ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
UAI
2003
15 years 1 months ago
2003
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
108
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NIPS
1997
15 years 1 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
118
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IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...