80 search results - page 13 / 16 » Learning non-stationary conditional probability distribution... |
KES
2007
Springer
14 years 4 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
RECOMB
2000
Springer
14 years 1 months ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
COLT
2008
Springer
13 years 11 months ago
2008
Springer
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...