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Extreme learning machine for missing data using multiple imputations.

D. Sovilj, E. Eirola, Y. Miche, K. Björk, R. Nian, A. Akusok, and A. Lendasse. Neurocomputing, (2016)

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Markus Emili

Bernhard Emil

William W Emilsen

Arnaud Emilien

Emil Schniewind

Other publications of authors with the same name

Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation.E. Eirola, and A. Lendasse. IDA, volume 8207 of Lecture Notes in Computer Science, page 162-173. Springer, (2013)Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation.A. Akusok, and E. Eirola. ELM, volume 11 of Proceedings in Adaptation, Learning and Optimization, page 17-26. Springer, (2018)Incremental ELMVIS for unsupervised learning.A. Akusok, E. Eirola, Y. Miche, I. Oliver, K. Björk, A. Gritsenko, S. Baek, and A. Lendasse. CoRR, (2019)Android Malware Detection: Building Useful Representations.L. Sayfullina, E. Eirola, D. Komashinsky, P. Palumbo, and J. Karhunen. ICMLA, page 201-206. IEEE Computer Society, (2016)Variable selection for regression problems using Gaussian mixture models to estimate mutual information.E. Eirola, A. Lendasse, and J. Karhunen. IJCNN, page 1606-1613. IEEE, (2014)Extreme Learning Tree.A. Akusok, E. Eirola, K. Björk, and A. Lendasse. CoRR, (2019)Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation.A. Akusok, and E. Eirola. CoRR, (2019)The delta test: The 1-NN estimator as a feature selection criterion.E. Eirola, A. Lendasse, F. Corona, and M. Verleysen. IJCNN, page 4214-4222. IEEE, (2014)Using the Delta Test for Variable Selection.E. Eirola, E. Liitiäinen, A. Lendasse, F. Corona, and M. Verleysen. ESANN, page 25-30. (2008)Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs.A. Gritsenko, E. Eirola, D. Schupp, E. Ratner, and A. Lendasse. HAIS, volume 10334 of Lecture Notes in Computer Science, page 293-305. Springer, (2017)

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Disambiguation of "Eirola, Emil"

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Extreme learning machine for missing data using multiple imputations.

Please choose a person to relate this publication to

Markus Emili

Bernhard Emil

William W Emilsen

Arnaud Emilien

Emil Schniewind

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Eirola, Emil"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Extreme learning machine for missing data using multiple imputations.

Please choose a person to relate this publication to

Markus Emili

Bernhard Emil

William W Emilsen

Arnaud Emilien

Emil Schniewind

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Extreme learning machine for missing data using multiple imputations.