Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Larrañaga A"'
Publikováno v:
Journal of Combinatorial Optimization, ISSN 1573-2886, 2022-07, Vol. 44, No. 2
Many real-world optimization problems involve two different subsets of variables: decision variables, and those variables which are not present in the cost function but constrain the solutions, and thus, must be considered during optimization. Thus,
Publikováno v:
Test An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN 1863-8260, 2022-06, Vol. 31, No. 2
This paper presents a new class of Bayesian networks called hybrid semiparametric Bayesian networks, which can model hybrid data (discrete and continuous data) by mixing parametric and nonparametric estimation models. The parametric estimation models
Publikováno v:
Quantum Information Processing, ISSN 1570-0755, 2022-12, Vol. 22, No. 1
Bayesian network structure learning is an NP-hard problem that has been faced by a number of traditional approaches in recent decades. Currently, quantum technologies offer a wide range of advantages that can be exploited to solve optimization tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::935f27a6619258394b6c2b8abc7d5583
https://oa.upm.es/72646/
https://oa.upm.es/72646/
Publikováno v:
International Journal of Intelligent Systems, ISSN 1098-111X, 2022-03, Vol. 37, No. 2
Real‐world applications often involve multifaceted data with several reasonable interpretations. To cluster this data, we need methods that are able to produce multiple clustering solutions. To this purpose, it is interesting to learn a finite mixt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c40b9c2c20d7a8c91094cc64f6946d5
https://oa.upm.es/72625/
https://oa.upm.es/72625/
Publikováno v:
International Journal of Intelligent Systems, ISSN 1098-111X, 2021-12, Vol. 36, No. 12
The multidimensional classification of multivariate timeseries deals with the assignment of multiple classes to time‐ordered data described by a set of feature variables. Although this challenging task has received almost no attention in the litera
Publikováno v:
International Journal of Intellligent Systems, ISSN 1098-111X, 2022-11, Vol. 2022, No. 37
When modelling multivariate continuous time series, a common issue is to find that the original processes that generated the data are nonlinear or that they drift away from the original distribution as the system evolves over time. In these scenarios
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a3226184083e9b11eadea2c2168c84
https://oa.upm.es/72667/
https://oa.upm.es/72667/
Publikováno v:
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN 1863-8260, 2022-06, Vol. 31, No. 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1e913e5c0e043ddaad862e009515d83
https://oa.upm.es/72659/
https://oa.upm.es/72659/
Publikováno v:
Neurocomputing, ISSN 1872-8286, 2021-03, Vol. 428
BayeSuites is the first web framework for learning, visualizing, and interpreting Bayesian networks (BNs) that can scale to tens of thousands of nodes while providing fast and friendly user experience. All the necessary features that enable this are
Publikováno v:
Líberi
Universidad Católica del Uruguay
instacron:Universidad Católica del Uruguay
Universidad Católica del Uruguay
instacron:Universidad Católica del Uruguay
Las habilidades matemáticas y lingüísticas en preescolares inciden sobre el rendimiento académico posterior. Asimismo, evidencia previa muestra la asociación positiva entre estas habilidades. Específicamente el lenguaje matemático que incluye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5b3a67b24561d7e1b9c663907d8337ce
Publikováno v:
Information Sciences, ISSN 0020-0255, 2021-11, Vol. 584
We introduce semiparametric Bayesian networks that combine parametric and nonparametric conditional probability distributions. Their aim is to incorporate the advantages of both components: the bounded complexity of parametric models and the flexibil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaab4e9312f5fe127d3e767278a774b1
http://arxiv.org/abs/2109.03008
http://arxiv.org/abs/2109.03008