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» Experimental Design for Variable Selection in Data Bases
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GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 1 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
INFORMATICALT
2007
95views more  INFORMATICALT 2007»
13 years 7 months ago
Neuro-IG: A Hybrid System for Selection and Elimination of Predictor Variables and non Relevant Individuals
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
Baghdad Atmani, Bouziane Beldjilali
AIME
2009
Springer
13 years 11 months ago
Data-Efficient Information-Theoretic Test Selection
We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimate...
Marianne Mueller, Rómer Rosales, Harald Ste...
SECON
2008
IEEE
14 years 1 months ago
A Multi-AP Architecture for High-Density WLANs: Protocol Design and Experimental Evaluation
—Fast proliferation of IEEE 802.11 wireless devices has led to the emergence of High-Density (HD) Wireless Local Area Networks (WLANs), where it is challenging to improve the thr...
Yanfeng Zhu, Zhisheng Niu, Qian Zhang, Bo Tan, Zhi...
ESANN
2008
13 years 8 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén