Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures

Tomi Silander; Janne Leppä-Aho; Elias Jääsaari; Teemu  Roos

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures

Tomi Silander, Janne Leppä-Aho, Elias Jääsaari, Teemu Roos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018
Editors	Amos Storkey, Fernando Perez-Cruz
Number of pages	10
Publisher	PMLR
Publication date	2018
Pages	948-957
Publication status	Published - 2018
MoE publication type	A4 Article in conference proceedings
Event	Twenty-First International Conference on Artificial Intelligence and Statistics - Playa Blanca, Lanzarote, Canary Islands, Spain Duration: 9 Apr 2018 → 11 Apr 2018

Publication series

Name	Proceedings of Machine Learning Research
Publisher	PMLR
Volume	84
ISSN (Print)	2640-3498

Fields of Science

113 Computer and information sciences

Access to Document

http://proceedings.mlr.press/v84/silander18a.htmlLicence: Unspecified

Cite this

Silander, T., Leppä-Aho, J., Jääsaari, E., & Roos, T. (2018). Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. In A. Storkey, & F. Perez-Cruz (Eds.), Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018 (pp. 948-957). (Proceedings of Machine Learning Research; Vol. 84). PMLR. http://proceedings.mlr.press/v84/silander18a.html

Silander, Tomi ; Leppä-Aho, Janne ; Jääsaari, Elias ; Roos, Teemu . / Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018. editor / Amos Storkey ; Fernando Perez-Cruz. PMLR, 2018. pp. 948-957 (Proceedings of Machine Learning Research).

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title = "Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures",

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author = "Tomi Silander and Janne Lepp{\"a}-Aho and Elias J{\"a}{\"a}saari and Teemu Roos",

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series = "Proceedings of Machine Learning Research",

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Silander, T, Leppä-Aho, J, Jääsaari, E & Roos, T 2018, Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. in A Storkey & F Perez-Cruz (eds), Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018. Proceedings of Machine Learning Research, vol. 84, PMLR, pp. 948-957, Twenty-First International Conference on Artificial Intelligence and Statistics, Spain, 09/04/2018. <http://proceedings.mlr.press/v84/silander18a.html>

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. / Silander, Tomi; Leppä-Aho, Janne; Jääsaari, Elias; Roos, Teemu .

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018. ed. / Amos Storkey; Fernando Perez-Cruz. PMLR, 2018. p. 948-957 (Proceedings of Machine Learning Research; Vol. 84).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures

AU - Silander, Tomi

AU - Leppä-Aho, Janne

AU - Jääsaari, Elias

AU - Roos, Teemu

PY - 2018

Y1 - 2018

KW - 113 Computer and information sciences

M3 - Conference contribution

T3 - Proceedings of Machine Learning Research

SP - 948

EP - 957

BT - Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018

A2 - Storkey, Amos

A2 - Perez-Cruz, Fernando

PB - PMLR

Y2 - 9 April 2018 through 11 April 2018

ER -