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» Computing the median with uncertainty
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EDM
2008
127views Data Mining» more  EDM 2008»
14 years 11 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
ENVSOFT
2006
125views more  ENVSOFT 2006»
14 years 10 months ago
Sensitivity analysis based on regional splits and regression trees (SARS-RT)
A global sensitivity analysis with regional properties is introduced. This method is demonstrated on two synthetic and one hydraulic example. It can be shown that an uncertainty a...
Florian Pappenberger, Ion Iorgulescu, Keith J. Bev...
ISCI
2002
112views more  ISCI 2002»
14 years 9 months ago
Intelligent learning and control of autonomous robotic agents operating in unstructured environments
The control of autonomous intelligent robotic agent operating in unstructured changing environments includes many objective difficulties. One major difficulty concerns the charact...
Hani Hagras, Tarek M. Sobh
PVLDB
2008
160views more  PVLDB 2008»
14 years 9 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
IJRR
2010
113views more  IJRR 2010»
14 years 8 months ago
On the Topology of Discrete Strategies
This paper explores a topological perspective of planning in the presence of uncertainty, focusing on tasks specified by goal states in discrete spaces. The paper introduces stra...
Michael Erdmann