Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Celine Robardet"'
Autor:
Carmen C Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud Fournel, Caroline Bushdid, Jerome Golebiowski, Celine Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 4, p e1006945 (2019)
An important goal in researching the biology of olfaction is to link the perception of smells to the chemistry of odorants. In other words, why do some odorants smell like fruits and others like flowers? While the so-called stimulus-percept issue was
Externí odkaz:
https://doaj.org/article/4aa1784ab3d940e89770539b6277d7e6
The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019.The total of 130
Autor:
Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Celine Robardet, Tiziano Squartini
This book constitutes revised selected papers from two workshops held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely: MIDAS 2018 – Third Worksh
Publikováno v:
Constrained Clustering: Advances in Algorithms
S. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008
Constrained Clustering: Advances in Algorithms, Theory, and Applications, edited by S. Basu, I. Davidson and K. Wagstaff, pp. 123–148. Boca Raton, Florida: CRC press, Taylor and Francis Group, 2008
info:cnr-pdr/source/autori:Pensa R.G.; Robardet C.; Boulicaut J.F./titolo:Constraint-driven co-clustering of 0%2F1 data/titolo_volume:Constrained Clustering: Advances in Algorithms, Theory, and Applications/curatori_volume:S. Basu, I. Davidson and K. Wagstaff/editore: /anno:2008
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ISBN: 9781584889960
S. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008
Constrained Clustering: Advances in Algorithms, Theory, and Applications, edited by S. Basu, I. Davidson and K. Wagstaff, pp. 123–148. Boca Raton, Florida: CRC press, Taylor and Francis Group, 2008
info:cnr-pdr/source/autori:Pensa R.G.; Robardet C.; Boulicaut J.F./titolo:Constraint-driven co-clustering of 0%2F1 data/titolo_volume:Constrained Clustering: Advances in Algorithms, Theory, and Applications/curatori_volume:S. Basu, I. Davidson and K. Wagstaff/editore: /anno:2008
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ISBN: 9781584889960
We investigate a co-clustering framework (i.e., a method that provides a partition of objects and a linked partition of features) for binary data sets. So far, constrained co-clustering has been seldomly explored. First, we consider straightforward e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45817dda683d5f310f3f6accdee6d3b
https://hal.archives-ouvertes.fr/hal-01501910
https://hal.archives-ouvertes.fr/hal-01501910
Publikováno v:
Proceedings of the 2008 SIAM International Conference on Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8931949b40fe95e79b6de949b3d97a8c
https://doi.org/10.1137/1.9781611972788.4
https://doi.org/10.1137/1.9781611972788.4
Publikováno v:
M@n@gement, Vol 23, Iss 1, Pp 1-15 (2020)
Institutional scholarship studies how individuals coexist and interact with social structures. Organizations and inter-organizational relations within industries are a central focus of these studies. Hence, empirical research has so far largely relie
Externí odkaz:
https://doaj.org/article/f6d8936e0ef94e718454199917cf6029