Showing 1 - 20 results of 154 for search '"hybridity"', query time: 0.05s Refine Results
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    by Salmerón Cerdán, Antonio
    Published 2023
    “…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.…”
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    info:eu-repo/semantics/article
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    “…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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    info:eu-repo/semantics/article
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    “…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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    info:eu-repo/semantics/article
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    “…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. …”
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    info:eu-repo/semantics/article
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    “…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. …”
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    ARTÍCULO DE CONFERENCIA
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    “…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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    info:eu-repo/semantics/article
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    “…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. …”
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    info:eu-repo/semantics/article
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    “…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). …”
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    info:eu-repo/semantics/doctoralThesis
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