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Bibliography
S. Lindner
Bouckaert R.
,
Hemmecke R.
,
Lindner S.
,
Studený Milan
:
Efficient algorithms for conditional independence inference
,
Journal of Machine Learning Research vol.11, 1 (2010), p. 3453-3479
[2010]
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Studený Milan
,
Haws D.
,
Hemmecke R.
,
Lindner S.
:
Polyhedral approach to statistical learning graphical models
,
Harmony of Gröbner Bases and the Modern Industrial Society, p. 346-372
,
The 2nd CREST-SBM International Conference "Harmony of Groebner Bases and the Modern Industrial Society", (Osaka, JP, 28.06.2012-2.07.2012)
[2012]
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DOI:
10.1142/9789814383462_0020
Studený Milan
,
Hemmecke R.
,
Lindner S.
:
Characteristic imset: a simple algebraic representative of a Bayesian network structure
,
Proceedings of the 5th European Workshop on Probabilistic Graphical Models (PGM 2010), p. 257-264 , Eds: Myllymaki Petri, Roos Teemu, Jaakkola Tommi
,
5th European Workshop on Probabilistic Graphical Models, (Helsinki, FI, 13.09.2010-15.09.2010)
[2010]
Download
Studený Milan
,
Hemmecke R.
,
Vomlel Jiří
,
Lindner S.
:
Polyhedral approach to statistical learning graphical models
,
Abstracts of The 2nd CREST-SBM International Conference on Harmony of Groebner Bases and the Moderm Industrial Socienty, p. 1-4
,
The 2nd CREST-SBM International Conference "Harmony of Groebner Bases and the Moderm Industrial Socienty", (Hotel Hankyu Expo Park, Osaka, JP, 28.06.2010-02.07.2010)
[2010]
Download
2019-01-07 08:39