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» Robust Feature Selection Algorithms
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NPL
2000
138views more  NPL 2000»
15 years 6 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
ISVC
2007
Springer
16 years 24 days ago
A GPU Framework for the Visualization and On-the-Fly Amplification of Real Terrains
This paper describes a GPU framework for the real-time visualization of natural textured terrains, as well as the steps that are needed to populate them on-the-fly with tens of tho...
Yacine Amara, Sylvain Meunier, Xavier Marsault
CDC
2009
IEEE
15 years 11 months ago
Multiple-model adaptive control with set-valued observers
— This paper proposes a multiple-model adaptive control methodology, using set-valued observers (MMAC-SVO) for the identification subsystem, that is able to provide robust stabi...
Paulo Andre Nobre Rosa, Carlos Silvestre, Jeff S. ...
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
15 years 10 months ago
Diverse committees vote for dependable profits
Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dyn...
Wei Yan, Christopher D. Clack
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
16 years 29 days ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana