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» Modelling decision making with probabilistic causation
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NIPS
2008
13 years 9 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
NIPS
2008
13 years 9 months ago
Probabilistic detection of short events, with application to critical care monitoring
We describe an application of probabilistic modeling and inference technology to the problem of analyzing sensor data in the setting of an intensive care unit (ICU). In particular...
Norm Aleks, Stuart Russell, Michael G. Madden, Dia...
TSMC
2002
134views more  TSMC 2002»
13 years 7 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho
ATAL
2010
Springer
13 years 7 months ago
A probabilistic model for trust and reputation
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
George Vogiatzis, Ian MacGillivray, Maria Chli
ALDT
2011
Springer
200views Algorithms» more  ALDT 2011»
12 years 7 months ago
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs
A variety of preference aggregation schemes and voting rules have been developed in social choice to support group decision making. However, the requirement that participants provi...
Tyler Lu, Craig Boutilier