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AMC
2007
93views more  AMC 2007»
13 years 7 months ago
Radar network scanning coordination based on ensemble transform Kalman filtering variance optimization
In this work the variance of the error of analyzed wind fields obtained from an ensemble Kalman filter is used as a criterion with which to optimize radar network scanning strat...
Luther White, Alan Shapiro
DMIN
2007
91views Data Mining» more  DMIN 2007»
13 years 9 months ago
Instance Ranking using Ensemble Spread
- This paper investigates a technique for predicting ensemble uncertainty originally proposed in the weather forecasting domain. The overall purpose is to find out if the technique...
Rikard König, Ulf Johansson, Lars Niklasson
TACAS
2007
Springer
144views Algorithms» more  TACAS 2007»
14 years 1 months ago
Detecting Races in Ensembles of Message Sequence Charts
Abstract. The analysis of message sequence charts (MSCs) is highly important in preventing common problems in communication protocols. Detecting race conditions, i.e., possible dis...
Edith Elkind, Blaise Genest, Doron Peled
PAMI
2007
166views more  PAMI 2007»
13 years 7 months ago
A Comparison of Decision Tree Ensemble Creation Techniques
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
14 years 1 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando