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ESANN
2006
14 years 8 days ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
JOT
2010
186views more  JOT 2010»
13 years 9 months ago
The Discrete Fourier Transform, Part 6: Cross-Correlation
This paper is part 6 in a series of papers about the Discrete Fourier Transform (DFT) and the Inverse Discrete Fourier Transform (IDFT). The focus of this paper is on correlation....
Douglas Lyon
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
14 years 2 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
IJKESDP
2010
60views more  IJKESDP 2010»
13 years 9 months ago
Portfolio selection problems with normal mixture distributions including fuzziness
— In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio mode...
Takashi Hasuike, Hiroaki Ishii
TNN
2011
107views more  TNN 2011»
13 years 5 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo