253 search results - page 38 / 51 » Learning Bayesian Networks by Evolution for Classifier Combi... |
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
ICICS
2009
Springer
14 years 2 months ago
2009
Springer
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
NIPS
2008
13 years 9 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...