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» Exploiting Data Missingness in Bayesian Network Modeling
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IPSN
2007
Springer
15 years 5 months ago
The worst-case capacity of wireless sensor networks
The key application scenario of wireless sensor networks is data gathering: sensor nodes transmit data, possibly in a multi-hop fashion, to an information sink. The performance of...
Thomas Moscibroda
ICA
2010
Springer
15 years 3 days ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
CONTEXT
2007
Springer
15 years 3 months ago
A Personalized Retrieval Model based on Influence Diagrams
Abstract. A key challenge in information retrieval is the use of contextual evidence within ad-hoc retrieval. Our contribution is particularly based on the belief that contextual r...
Nesrine Zemirli, Lynda Tamine, Mohand Boughanem
PAMI
2010
188views more  PAMI 2010»
14 years 9 months ago
A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding
—Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, ...
Yan Tong, Jixu Chen, Qiang Ji
IJAR
2010
97views more  IJAR 2010»
14 years 9 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...