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» Kolmogorov-Loveland Randomness and Stochasticity
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ICPR
2004
IEEE
14 years 9 months ago
Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm
In this work, the authors have evaluated almost 20 millions ensembles of classifiers generated by several methods. Trying to optimize those ensembles based on the nearest neighbou...
Guillaume Tremblay, Robert Sabourin, Patrick Maupi...
WSC
2001
13 years 10 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben
ICCV
2007
IEEE
14 years 10 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury
MP
2002
93views more  MP 2002»
13 years 8 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...
WSC
2004
13 years 10 months ago
Make-to-Stock Systems with Backorders: IPA Gradients
We consider single-stage, single-product Make-to-Stock systems with random demand and random service (production) rate, where demand shortages at the inventory facility are backor...
Yao Zhao, Benjamin Melamed