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Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease.

, , , , , and . PETRA, page 189-192. ACM, (2017)

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Analysis of Fast Input Selection: Application in Time Series Prediction, , and . (2006)An empirical dependence mesaures based on residual variance estimation., and . ISSPA, page 1-4. IEEE, (2007)Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models., , and . ICANN, volume 2714 of Lecture Notes in Computer Science, page 573-580. Springer, (2003)LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator., , , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 625-630. Springer, (2005)X-ELM: A Fast Explainability Approach for Extreme Learning Machines., , and . IWANN (2), volume 14135 of Lecture Notes in Computer Science, page 411-422. Springer, (2023)Using the Delta Test for Variable Selection., , , , and . ESANN, page 25-30. (2008)Time series prediction using DirRec strategy., and . ESANN, page 143-148. (2006)Determination of the Mahalanobis matrix using nonparametric noise estimations., , , , and . ESANN, page 227-232. (2006)Extraction of intrinsic dimension using CCA - Application to blind sources separation., , , and . ESANN, page 339-344. (1999)Nearest Neighbor Distributions and Noise Variance Estimation., , and . ESANN, page 67-72. (2007)