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AAAI
2008
13 years 10 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
IVA
2010
Springer
13 years 6 months ago
Individualized Gesturing Outperforms Average Gesturing - Evaluating Gesture Production in Virtual Humans
Abstract. How does a virtual agent’s gesturing behavior influence the user’s perception of communication quality and the agent’s personality? This question was investigated ...
Kirsten Bergmann, Stefan Kopp, Friederike Eyssel
TSMC
2010
13 years 2 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...
IVA
2009
Springer
14 years 2 months ago
GNetIc - Using Bayesian Decision Networks for Iconic Gesture Generation
Expressing spatial information with iconic gestures is abundant in human communication and requires to transform a referent representation into resembling gestural form. This task ...
Kirsten Bergmann, Stefan Kopp
IUI
2006
ACM
14 years 1 months ago
Who's asking for help?: a Bayesian approach to intelligent assistance
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
Bowen Hui, Craig Boutilier