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» Structure learning of Bayesian networks using constraints
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CN
2000
128views more  CN 2000»
15 years 4 months ago
The Network Workbench: network simulation software for academic investigation of Internet concepts
Simulation offers significant advantages as a basis for academic projects in computer networking. many unimportant details can be abstracted away, and also because simulations can...
J. Mark Pullen
CVPR
2012
IEEE
13 years 7 months ago
Nonparametric discovery of activity patterns from video collections
We propose a nonparametric framework based on the beta process for discovering temporal patterns within a heterogenous video collection. Starting from quantized local motion descr...
Michael C. Hughes, Erik B. Sudderth
ICML
2009
IEEE
16 years 5 months ago
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
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...
Ana M. Martínez, José A. Gáme...
171
Voted
AAAI
1996
15 years 6 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
IJAR
2010
97views more  IJAR 2010»
15 years 3 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...