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135
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AUSAI
2003
Springer
15 years 10 months ago
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
Kyung-Joong Kim, Sung-Bae Cho
NAR
2011
176views Computer Vision» more  NAR 2011»
14 years 8 months ago
IUPHAR-DB: new receptors and tools for easy searching and visualization of pharmacological data
The IUPHAR database is an established online reference resource for several important classes of human drug targets and related proteins. As well as providing recommended nomencla...
Joanna L. Sharman, Chidochangu P. Mpamhanga, Micha...
161
Voted
ECAI
2000
Springer
15 years 8 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti
141
Voted
IJCAI
1989
15 years 6 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
UAI
2003
15 years 6 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller