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PAA
2002
15 years 6 months ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
SIAMJO
2002
120views more  SIAMJO 2002»
15 years 6 months ago
Dual Stochastic Dominance and Related Mean-Risk Models
We consider the problem of constructing mean{risk models which are consistent with the second degree stochastic dominance relation. By exploiting duality relations of convex analys...
Wlodzimierz Ogryczak, Andrzej Ruszczynski
TSMC
2002
95views more  TSMC 2002»
15 years 6 months ago
The MPC elucidator: a case study in the design for human-automation interaction
In this paper, we describe the design of a decision support system for operators of model-based predictive controllers (MPC). MPC is a form of advanced automatic control that is in...
Stephanie A. Guerlain, G. A. Jamieson, P. Bullemer...
RC
2007
78views more  RC 2007»
15 years 5 months ago
Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications
Abstract. In engineering applications, we need to make decisions under uncertainty. Traditionally, in engineering, statistical methods are used, methods assuming that we know the p...
Vladik Kreinovich, Jan Beck, Carlos Ferregut, Arac...
ICPR
2010
IEEE
15 years 4 months ago
Verification Under Increasing Dimensionality
Verification decisions are often based on second order statistics estimated from a set of samples. Ongoing growth of computational resources allows for considering more and more fe...
Anne Hendrikse, Raymond N. J. Veldhuis, Luuk J. Sp...