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Bibliography

R. Hemmecke

  1. 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] Download
  2. Studený Milan, Vomlel Jiří, Hemmecke R. :  A geometric view on learning Bayesian network structures , International Journal of Approximate Reasoning vol.51, 5 (2010), p. 578-586, PGM 2008, [2010] Download DOI: 10.1016/j.ijar.2010.01.014

  1. 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] Download DOI: 10.1142/9789814383462_0020
  2. 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
  3. 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