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IPSN
2010
Springer
14 years 3 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
14 years 2 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
ICPR
2006
IEEE
14 years 9 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
PRL
2007
168views more  PRL 2007»
13 years 8 months ago
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
We used the datasets of the NIPS 2003 challenge on feature selection as part of the practical work of an undergraduate course on feature extraction. The students were provided wit...
Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A...