Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models

Emil Eirola; Andrey Gritsenko; Anton Akusok; Kaj Mikael Björk; Yoan Miche; Dušan Sovilj; Rui Nian; Bo He; Amaury Lendasse

doi:10.1007/978-3-319-19222-2_13

Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models

Emil Eirola
, Andrey Gritsenko
, Anton Akusok
, Kaj Mikael Björk
, Yoan Miche
, Dušan Sovilj
, Rui Nian
, Bo He
, Amaury Lendasse

Arcada University of Applied Sciences
University of Iowa
Aalto University
Nokia-Siemens Networks
Ocean University of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Proceedings, Part II
Editors	Ignacio Rojas, Gonzalo Joya, Andreu Catala
Publisher	Springer Verlag
Pages	153-164
Number of pages	12
ISBN (Electronic)	9783319192215
DOIs	https://doi.org/10.1007/978-3-319-19222-2_13
State	Published - 2015
Externally published	Yes
Event	13th International Work-Conference on Artificial Neural Networks, IWANN 2015 - Palma de Mallorca, Spain Duration: Jun 10 2015 → Jun 12 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9095
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Work-Conference on Artificial Neural Networks, IWANN 2015
Country/Territory	Spain
City	Palma de Mallorca
Period	6/10/15 → 6/12/15

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Classification
Extreme learning machines
Gaussian mixture models
Internet security
Leave-one-out cross-validation
Machine learning
Multiclass classification
Neural network
Parental control
PRESS statistics

Access to Document

10.1007/978-3-319-19222-2_13

Cite this

Eirola, E., Gritsenko, A., Akusok, A., Björk, K. M., Miche, Y., Sovilj, D., Nian, R., He, B., & Lendasse, A. (2015). Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models. In I. Rojas, G. Joya, & A. Catala (Eds.), Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Proceedings, Part II (pp. 153-164). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9095). Springer Verlag. https://doi.org/10.1007/978-3-319-19222-2_13

Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models. / Eirola, Emil; Gritsenko, Andrey; Akusok, Anton et al.
Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Proceedings, Part II. ed. / Ignacio Rojas; Gonzalo Joya; Andreu Catala. Springer Verlag, 2015. p. 153-164 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9095).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Eirola, E, Gritsenko, A, Akusok, A, Björk, KM, Miche, Y, Sovilj, D, Nian, R, He, B & Lendasse, A 2015, Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models. in I Rojas, G Joya & A Catala (eds), Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Proceedings, Part II. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9095, Springer Verlag, pp. 153-164, 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, 6/10/15. https://doi.org/10.1007/978-3-319-19222-2_13

Eirola E, Gritsenko A, Akusok A, Björk KM, Miche Y, Sovilj D et al. Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models. In Rojas I, Joya G, Catala A, editors, Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Proceedings, Part II. Springer Verlag. 2015. p. 153-164. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-19222-2_13

Eirola, Emil ; Gritsenko, Andrey ; Akusok, Anton et al. / Extreme learning machines for multiclass classification : Refining predictions with gaussian mixture models. Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Proceedings, Part II. editor / Ignacio Rojas ; Gonzalo Joya ; Andreu Catala. Springer Verlag, 2015. pp. 153-164 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Extreme learning machines for multiclass classification: Refining predictions with gaussian mixture models

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Keywords

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