Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Michel Burlet"'
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2011, 32 (2), pp.101-106. ⟨10.1016/j.patrec.2010.09.023⟩
Pattern Recognition Letters, 2011, 32 (2), pp.101-106. ⟨10.1016/j.patrec.2010.09.023⟩
Pattern Recognition Letters, Elsevier, 2011, 32 (2), pp.101-106. ⟨10.1016/j.patrec.2010.09.023⟩
Pattern Recognition Letters, 2011, 32 (2), pp.101-106. ⟨10.1016/j.patrec.2010.09.023⟩
International audience; The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with the main advantage of computing a probability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2d37c7343bd8da7454cd5df762ea2ee
https://hal.archives-ouvertes.fr/hal-00633629/file/Aseervatham-PatternRecognitionLetter2011.pdf
https://hal.archives-ouvertes.fr/hal-00633629/file/Aseervatham-PatternRecognitionLetter2011.pdf
Publikováno v:
Trends in Mathematics ISBN: 9783764372286
A graph is Berge if it has no induced odd cycle on at least 5 vertices and no complement of induced odd cycle on at least 5 vertices. A graph is perfect if the chromatic number equals the maximum clique number for every induced subgraph. Chudnovsky,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d79d12bc57ac9c7a877d19c1cbb67a26
https://doi.org/10.1007/978-3-7643-7400-6_8
https://doi.org/10.1007/978-3-7643-7400-6_8
Autor:
Olivier Goldschmidt, Michel Burlet
Publikováno v:
Operations Research Letters. 21:225-227
We present a O(mn^3) time exact algorithm for finding a minimum 3-cut in an edge-weighted graph. This running time compares very favorably with the best-known algorithm which takes O(mn^5) time in the worst case.
Publikováno v:
HAL
Textual Information Access: Statistical Models
Eric Gaussier, François Yvon. Textual Information Access: Statistical Models, John Wiley & Sons, pp.Part II.3 61-84, 2012, ISTE, 978-1-84821-322-7
Textual Information Access: Statistical Models
Eric Gaussier, François Yvon. Textual Information Access: Statistical Models, John Wiley & Sons, pp.Part II.3 61-84, 2012, ISTE, 978-1-84821-322-7
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::19296539efc5ba97e8cba11ee0cd4277
https://hal.archives-ouvertes.fr/hal-00741242
https://hal.archives-ouvertes.fr/hal-00741242