Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Irene Córdoba"'
Autor:
Juan Bataller Grau, Nuria Latorre Chiner, Jesús Olavarría Iglesia, Javier Vercher Moll, Irene Córdoba Mochales
Derived from the renowned multi-volume International Encyclopaedia of Laws, this book provides valuable practical insight into both public supervisory legislation concerning insurance and private insurance contract law in Spain. An informative genera
Publikováno v:
IEEE Access, ISSN 2169-3536, 2020, Vol. 8
Cordoba, I, Bielza, C, Larranaga, P & Varando, G 2020, ' Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data ', IEEE Access, vol. 8, pp. 154614-154624 . https://doi.org/10.1109/ACCESS.2020.3018593
IEEE Access, Vol 8, Pp 154614-154624 (2020)
Cordoba, I, Bielza, C, Larranaga, P & Varando, G 2020, ' Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data ', IEEE Access, vol. 8, pp. 154614-154624 . https://doi.org/10.1109/ACCESS.2020.3018593
IEEE Access, Vol 8, Pp 154614-154624 (2020)
The sparse Cholesky parametrization of the inverse covariance matrix can be interpreted as a Gaussian Bayesian network; however its counterpart, the covariance Cholesky factor, has received, with few notable exceptions, little attention so far, despi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9df9035cbd8d267815cd9526e7ba55d9
http://arxiv.org/abs/2006.01448
http://arxiv.org/abs/2006.01448
Publikováno v:
Journal of Statistical Planning and Inference, ISSN 1873-1171, 2020, Vol. 206
Markov models lie at the interface between statistical independence in a probability distribution and graph separation properties. We review model selection and estimation in directed and undirected Markov models with Gaussian parametrization, emphas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9240dd85ed811c6d1b4c81d156f6495d
https://oa.upm.es/58754/
https://oa.upm.es/58754/
Publikováno v:
International Journal of Approximate Reasoning, ISSN 0888-613X, 2020, Vol. 125
Structure learning methods for covariance and concentration graphs are often validated on synthetic models, usually obtained by randomly generating: (i) an undirected graph, and (ii) a compatible symmetric positive definite (SPD) matrix. In order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c6ed70b5ba2b0367f00e8ed64e620b9
https://oa.upm.es/62066/
https://oa.upm.es/62066/
Autor:
Juan Bataller Grau, Nuria Latorre Chiner, Jesús Olavarría Iglesia, Javier Vercher Moll, Irene Córdoba Mochales
Derived from the renowned multi-volume International Encyclopaedia of Laws, this book provides valuable practical insight into both public supervisory legislation concerning insurance and private insurance contract law in Spain. An informative genera
Autor:
Irene Córdoba, Juan de Lara
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
SAC'15: proceedings of the 30th Annual ACM Symposium on Applied Computing | 30th Annual ACM Symposium on Applied Computing | 13-17 Apr 2015 | Salamanca, España
Archivo Digital UPM
instname
SAC'15: proceedings of the 30th Annual ACM Symposium on Applied Computing | 30th Annual ACM Symposium on Applied Computing | 13-17 Apr 2015 | Salamanca, España
Archivo Digital UPM
This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in SAC '15 Proceedings of the 30th Annual ACM Symposium on Applied Computing, http://dx.doi.org/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7064774519f1e82c9ff48c4c8d4f43f5
Publikováno v:
Intelligent Data Engineering and Automated Learning (IDEAL 2018) | 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018) | 21-23 Nov 2018 | Madrid, España
Intelligent Data Engineering and Automated Learning – IDEAL 2018 ISBN: 9783030034924
IDEAL (1)
Archivo Digital UPM
Universidad Politécnica de Madrid
Intelligent Data Engineering and Automated Learning – IDEAL 2018 ISBN: 9783030034924
IDEAL (1)
Archivo Digital UPM
Universidad Politécnica de Madrid
We propose a novel Metropolis-Hastings algorithm to sample uniformly from the space of correlation matrices. Existing methods in the literature are based on elaborated representations of a correlation matrix, or on complex parametrizations of it. By
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::663e912f6f3fb5bc19e7bdab6cee00ee
https://oa.upm.es/54634/
https://oa.upm.es/54634/
Autor:
Pedro Larrañaga, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Irene Córdoba, Concha Bielza
Publikováno v:
Advances in Artificial Intelligence | 18th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2018) | 23-26 Oct 2018 | Granada, España
Archivo Digital UPM
Universidad Politécnica de Madrid
Advances in Artificial Intelligence ISBN: 9783030003739
CAEPIA
Archivo Digital UPM
Universidad Politécnica de Madrid
Advances in Artificial Intelligence ISBN: 9783030003739
CAEPIA
The PC algorithm is a popular method for learning the structure of Gaussian Bayesian networks. It carries out statistical tests to determine absent edges in the network. It is hence governed by two parameters: (i) The type of test, and (ii) its signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283aedfc337ac2ede4a536f593b698a6
https://oa.upm.es/54649/
https://oa.upm.es/54649/
Autor:
Juan de Lara, Irene Córdoba
Publikováno v:
Computer Languages Systems & Structures, ISSN 1477-8424, 2016, Vol. 45
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Archivo Digital UPM
Universidad Politécnica de Madrid
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Archivo Digital UPM
Universidad Politécnica de Madrid
This is the author’s version of a work that was accepted for publication in Computer Languages, Systems & Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf9c1d046ec955eeff3cdee11435fd4
https://oa.upm.es/46325/
https://oa.upm.es/46325/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319208060
Data sets are growing in complexity thanks to the increasing facilities we have nowadays to both generate and store data. This poses many challenges to machine learning that are leading to the proposal of new methods and paradigms, in order to be abl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b833ca956d9b4eab360ba1480ced844
https://doi.org/10.1007/978-3-319-20807-7_47
https://doi.org/10.1007/978-3-319-20807-7_47