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» Rough Sets for Uncertainty Reasoning
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AAAI
1998
14 years 11 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
IJCAI
1993
14 years 10 months ago
Generalization of the Dempster-Shafer Theory
The Dempster-Shafer theory gives a solid basis for reasoning applications characterized by uncertainty. A key feature of the theory is that propositions are represented as subsets...
J. W. Guan, David A. Bell
ISMB
1993
14 years 10 months ago
Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation Data
Algorithmsbasedonprobability theorycanaddressissues of uncertainty directly throughtheir representational frameworkandtheir theoryfor data combination.In this paper, wediscuss the...
Russ B. Altman
VTC
2007
IEEE
133views Communications» more  VTC 2007»
15 years 3 months ago
An Architecture for Situation-Aware Driver Assistance Systems
Current Driver Assistance Systems merely use a minimum set of information. By using additional information of the environment hazardous situations can be detected earlier, more re...
Matthias Röckl, Patrick Robertson, Korbinian ...
ECSQARU
2005
Springer
15 years 3 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...