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IJPRAI
2000
83views more  IJPRAI 2000»
15 years 6 months ago
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 6 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
ICTAI
2006
IEEE
16 years 24 days ago
A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
Maurizio Borsotto, Weihong Zhang, Emir Kapanci, Av...
QEST
2008
IEEE
16 years 1 months ago
Hintikka Games for PCTL on Labeled Markov Chains
We present Hintikka games for formulae of the probabilistic temporal logic PCTL and countable labeled Markov chains as models, giving an operational account of the denotational se...
Harald Fecher, Michael Huth, Nir Piterman, Daniel ...
ICPR
2002
IEEE
16 years 7 months ago
Robust Contrast-Invariant EigenDetection
We achieve two goals in this paper: (1) to build a novel appearance-based object representation that takes into account variations in contrast often found in training images; (2) ...
Chakra Chennubhotla, Allan D. Jepson, John Midgley