Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Graafland, Catharina"'
Publikováno v:
Sci Rep 12, 18704 (2022)
Gene expression datasets consist of thousand of genes with relatively small samplesizes (i.e. are large-$p$-small-$n$). Moreover, dependencies of various orders co-exist in the datasets. In the Undirected probabilistic Graphical Model (UGM) framework
Externí odkaz:
http://arxiv.org/abs/2106.15365
Publikováno v:
Sci Rep 10, 11484 (2020)
Correlation Networks (CNs) inherently suffer from redundant information in their network topology. Bayesian Networks (BNs), on the other hand, include only non-redundant information (from a probabilistic perspective) resulting in a sparse topology fr
Externí odkaz:
http://arxiv.org/abs/1912.03758
Publikováno v:
Proceedings of Machine Learning Research (72, PGM 2018), 416-427; extended version in International Journal of Approximate Reasoning, 115:235-253
Three classes of algorithms to learn the structure of Bayesian networks from data are common in the literature: constraint-based algorithms, which use conditional independence tests to learn the dependence structure of the data; score-based algorithm
Externí odkaz:
http://arxiv.org/abs/1805.11908
We derive estimators of the density of the event times of current status data. The estimators are derived for the situations where the distribution of the observation times is known and where this distribution is unknown. The density estimators are c
Externí odkaz:
http://arxiv.org/abs/1707.00544
Autor:
Graafland, Catharina E.1 (AUTHOR) catharina.graafland@unican.es, Gutiérrez, José M.1 (AUTHOR)
Publikováno v:
Scientific Reports. 11/4/2022, Vol. 12 Issue 1, p1-18. 18p.
Publikováno v:
In International Journal of Approximate Reasoning December 2019 115:235-253
RESUMEN: Los sistemas complejos aparecen en un amplio abanico de disciplinas y están compuestos por muchos elementos que interactúan y en los que surgen fenómenos colectivos que no pueden deducirse de las propiedades de sus elementos constitutivos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2473::64210f35d9d1e2972853e1b5db19e89f
https://hdl.handle.net/10902/26836
https://hdl.handle.net/10902/26836
Autor:
Graafland, Catharina E.1 catharina.graafland@unican.es, Gutiérrez, José M.1, López, Juan M.1, Pazó, Diego1, Rodríguez, Miguel A.1
Publikováno v:
Scientific Reports. 7/13/2020, Vol. 10 Issue 1, p1-15. 15p.
Autor:
Ceballos, M.Teresa, García, Rebeca, Graafland, Catharina E., Herranz, Diego, Martínez-Núñez, Silvia, Piedra, Jónatan, Seror, Marta, Vilar, Rocío
Es una situación en la que seguro que muchos/as nos hemos encontrado alguna vez... en una charla pública preguntamos por el nombre de científicas importantes y el único nombre que surge es el de Marie Curie. Pero las personas que hacemos ciencia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40aa50144ff92f344fdf3f020005f4a1