111 search results - page 9 / 23 » Causal Graphical Models with Latent Variables: Learning and ... |
88
Voted
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
70
Voted
NIPS
2007
14 years 11 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
85
Voted
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
103
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ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...