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1by Salmerón Cerdán, Antonio“…The authors present an interesting work that extends their previous contribution on semiparametric Bayesian networks to a more general class of models, namely hybrid Bayesian networks, in which discrete (or categorical) and continuous variables coexist.…”
Published 2023
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2by Ramos López, Darío, Masegosa, Andrés R., Martínez, Ana M., Salmerón Cerdán, Antonio, Nielsen, Thomas D., Langseth, Helge, Madsen, Anders L.Subjects: Get full text
Published 2017
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3by Escobar Sevilla, JesúsSubjects: Get full text
Published 2018
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4by Fernández Ropero, Rosa María, Flores Gallego, María Julia, Rumí Rodríguez, Rafael, Aguilera Aguilera, PedroGet full text
Published 2024
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5“…In this paper we propose an algorithm for answering queries in hybrid Bayesian networks where the underlying probability distribution is of class MTE (mixture of truncated exponentials). …”
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6“…In this paper we introduce an algorithm for learning hybrid Bayesian networks from data. The result of the algorithm is a network where the conditional distribution for each variable is a mixture of truncated exponentials (MTE), so that no restrictions on the network topology are imposed. …”
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7by Rosales-Pérez, Josué F., Villarruel-Jaramillo, Andrés, Romero Ramos, José Alfonso, Pérez García, Manuel, Cardemil, José M., Escobar, RodrigoSubjects: Get full text
Published 2023
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8by Fernández Ropero, Rosa María, Aguilera Aguilera, Pedro, Fernández Álvarez, Antonio, Rumí Rodríguez, Rafael“…This methodology is applied to modelling landscape - socioeconomy relationships for different types of data (continuous, discrete or hybrid). Three models relating socioeconomy and landscape are proposed, and two scenarios of socioeconomic change are introduced in each one to obtain a prediction. …”
Published 2024
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10by Morquecho, Edgar, Torres Contreras, Santiago Patricio, Matute, Nelson, Astudillo Salinas, Darwin Fabian, Lopez Quizhpi, Julio Cesar, Flores, Wilfredo“…In this research work, a load shedding formulation extended for the multistage alternating current (AC) model with the co-optimization of shunt compensation is proposed. A novel hybrid meta-heuristic is used as optimization technique to solve the DTEP problem. …”
Published 2021
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11by Aguilera Aguilera, Pedro, Fernández Álvarez, Antonio, Fernández Ropero, Rosa María, Molina Sánchez, LuisSubjects: “…Hybrid Bayesian networks…”
Published 2024
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13“…We have developed and applied a new probabilistic methodology – based on hierarchical hybrid Bayesian network classifiers - to identify the different socioecological sectors in Andalusia, a region in southern Spain, and incorporate a scenario of change. …”
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14by Wichadee, SaovapaSubjects: “…Hybrid teaching…”
Published 2013
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15by Maldonado González, Ana Devaki, Salmerón Cerdán, Antonio, Pérez Bernabé, Inmaculada, Nielsen, Thomas Dyhre“…Leveraging this functionality, the MoTBFs package supports learning of MoTBF-based Bayesian networks over hybrid domains. We give a brief introduction to the methodological context and algorithms implemented in the package. …”
Published 2023
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18by Pasciuto, I. (Ilaria), Ausejo-Muñoz, S. (Sergio), Celigüeta-Lizarza, J.T. (Juan Tomás)“…On the one hand, dynamics is included in our formulation, in order to yield physically sound predictions and in view of the fact that the forces and torques acting on and within the human body play a relevant role in discomfort perception. On the other, a hybrid approach is followed, combining the advantages of both data-based methods (which rely on actually performed motions for reference) and knowledge-based methods (which rely on the identification of the motion control laws underlying task-oriented motions). …”
Published 2013
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19by Langseth, Helge, Nielsen, Thomas D., Pérez-Bernabé, Inmaculada, Salmerón Cerdán, AntonioSubjects: Get full text
Published 2017
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20by Gil Vergel, Juan Diego, Ramos Teodoro, Jerónimo, Romero Ramos, José A., Escobar, Rodrigo, Cardemil, José M., Giagnocavo, Cynthia Lynn, Pérez García, ManuelGet full text
Published 2021
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