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ECML
2007
Springer
16 years 1 months ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...
ECML
2007
Springer
16 years 1 months ago
Avoiding Boosting Overfitting by Removing Confusing Samples
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
Alexander Vezhnevets, Olga Barinova
ESA
2007
Springer
125views Algorithms» more  ESA 2007»
16 years 1 months ago
Online Primal-Dual Algorithms for Maximizing Ad-Auctions Revenue
We study the online ad-auctions problem introduced by Mehta et. al. [15]. We design a (1 − 1/e)competitive (optimal) algorithm for the problem, which is based on a clean primal-...
Niv Buchbinder, Kamal Jain, Joseph Naor
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
16 years 1 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
HUC
2007
Springer
16 years 1 months ago
Symbolic Object Localization Through Active Sampling of Acceleration and Sound Signatures
We describe a novel method for symbolic location discovery of simple objects. The method requires no infrastructure and relies on simple sensors routinely used in sensor nodes and ...
Kai S. Kunze, Paul Lukowicz
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