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High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications.

, , , и . IEEE Access, (2015)

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Amaury Pourteau

Amaury Pourteau

Amaury Pourteau

Paul-Amaury Matt

Amaury Ernesto Fernández-Montalván

 

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An empirical dependence mesaures based on residual variance estimation., и . ISSPA, стр. 1-4. IEEE, (2007)Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models., , и . ICANN, том 2714 из Lecture Notes in Computer Science, стр. 573-580. Springer, (2003)Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems., , , , и . ICANN (1), том 5768 из Lecture Notes in Computer Science, стр. 1-9. Springer, (2009)Nearest Neighbor Distributions and Noise Variance Estimation., , и . ESANN, стр. 67-72. (2007)Input data reduction for the prediction of financial time series., , , , и . ESANN, стр. 237-244. (2001)Using the Delta Test for Variable Selection., , , , и . ESANN, стр. 25-30. (2008)Time series prediction using DirRec strategy., и . ESANN, стр. 143-148. (2006)Determination of the Mahalanobis matrix using nonparametric noise estimations., , , , и . ESANN, стр. 227-232. (2006)Extraction of intrinsic dimension using CCA - Application to blind sources separation., , , и . ESANN, стр. 339-344. (1999)LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator., , , и . ICANN (2), том 3697 из Lecture Notes in Computer Science, стр. 625-630. Springer, (2005)