Non-parametric residual variance estimation in supervised learning

Elia Liitiäinen; Amaury Lendasse; Francesco Corona

doi:10.1007/978-3-540-73007-1_9

Non-parametric residual variance estimation in supervised learning

Elia Liitiäinen
, Amaury Lendasse
, Francesco Corona

Aalto University

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

Original language	English
Title of host publication	Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings
Publisher	Springer Verlag
Pages	63-71
Number of pages	9
ISBN (Print)	9783540730064
DOIs	https://doi.org/10.1007/978-3-540-73007-1_9
State	Published - 2007
Externally published	Yes
Event	9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian, Spain Duration: Jun 20 2007 → Jun 22 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4507 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Work-Conference on Artificial Neural Networks, IWANN 2007
Country/Territory	Spain
City	San Sebastian
Period	6/20/07 → 6/22/07

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-73007-1_9

Cite this

Liitiäinen, E., Lendasse, A., & Corona, F. (2007). Non-parametric residual variance estimation in supervised learning. In Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings (pp. 63-71). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4507 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-73007-1_9

Non-parametric residual variance estimation in supervised learning. / Liitiäinen, Elia; Lendasse, Amaury; Corona, Francesco.
Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Springer Verlag, 2007. p. 63-71 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4507 LNCS).

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

Liitiäinen, E, Lendasse, A & Corona, F 2007, Non-parametric residual variance estimation in supervised learning. in Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4507 LNCS, Springer Verlag, pp. 63-71, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastian, Spain, 6/20/07. https://doi.org/10.1007/978-3-540-73007-1_9

Liitiäinen E, Lendasse A, Corona F. Non-parametric residual variance estimation in supervised learning. In Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Springer Verlag. 2007. p. 63-71. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-73007-1_9

Liitiäinen, Elia ; Lendasse, Amaury ; Corona, Francesco. / Non-parametric residual variance estimation in supervised learning. Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Springer Verlag, 2007. pp. 63-71 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AU - Corona, Francesco

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Non-parametric residual variance estimation in supervised learning

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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