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» Encoding Probabilistic Causal Model in Probabilistic Action ...
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UAI
1997
13 years 9 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
MICCAI
2010
Springer
13 years 6 months ago
Brain Morphometry by Probabilistic Latent Semantic Analysis
The paper proposes a new shape morphometry approach to combine advanced classification techniques with geometric features in order to identify morphological abnormalities on brain...
Umberto Castellani, Alessandro Perina, Vittorio Mu...
IAT
2007
IEEE
14 years 2 months ago
Analysis of Multi-Actor Policy Contexts Using Perception Graphs
Policy making is a multi-actor process: it involves a variety of actors, each trying to further their own interests. How these actors decide and act largely depends on the way the...
Pieter W. G. Bots
UM
2009
Springer
14 years 2 months ago
Modeling User Affect from Causes and Effects
We present a model of user affect to recognize multiple user emotions during interaction with an educational computer game. Our model deals with the high level of uncertainty invol...
Cristina Conati, Heather Maclaren
CONNECTION
2008
178views more  CONNECTION 2008»
13 years 7 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy