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ECAI
2008
Springer
14 years 11 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
JMLR
2010
137views more  JMLR 2010»
14 years 4 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
ICASSP
2007
IEEE
15 years 4 months ago
Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
Thomas Hueber, Guido Aversano, Gérard Choll...
CEC
2009
IEEE
15 years 4 months ago
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
— Legged robots show promise for complex mobility tasks, such as navigating rough terrain, but the design of their control software is both challenging and laborious. Traditional...
Jeff Clune, Benjamin E. Beckmann, Charles Ofria, R...
JMLR
2006
153views more  JMLR 2006»
14 years 9 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis