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TSMC
2008
177views more  TSMC 2008»
14 years 8 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
JCNS
2006
64views more  JCNS 2006»
14 years 10 months ago
A neuronal network for the logic of Limax learning
We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particul...
Pranay Goel, Alan Gelperin
PERCOM
2005
ACM
15 years 3 months ago
A Learning Model for Trustworthiness of Context-Awareness Services
When ubiquitous computing devices access a contextawareness service, such as a location service, they need some assurance that the quality of the information received is trustwort...
Markus C. Huebscher, Julie A. McCann
AI
2000
Springer
14 years 9 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
UAI
2003
14 years 11 months ago
On Triangulating Dynamic Graphical Models
This paper introduces improved methodology to triangulate dynamic graphical models and dynamic Bayesian networks (DBNs). In this approach, a standard DBN template can be modified...
Jeff A. Bilmes, Chris Bartels