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» Learning Dynamic Bayesian Networks
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CIKM
1997
Springer
15 years 2 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
FLAIRS
2001
14 years 11 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...
HUC
2007
Springer
15 years 4 months ago
A Statistical Reasoning System for Medication Prompting
We describe our experience building and using a reasoning system for providing context-based prompts to elders to take their medication. We describe the process of specification, ...
Sengul Vurgun, Matthai Philipose, Misha Pavel
PAMI
2008
137views more  PAMI 2008»
14 years 10 months ago
Tracking the Visual Focus of Attention for a Varying Number of Wandering People
In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W)
Kevin Smith, Sileye O. Ba, Jean-Marc Odobez, Danie...
METMBS
2003
255views Mathematics» more  METMBS 2003»
14 years 11 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...