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IEEE Transactions on Parallel and Distributed Systems, 2023
Srivastava et al. propose a parallel framework to optimize Bayesian network learning in the SC20 article entitled “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery”.
Juncheng Cao +7 more
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Srivastava et al. propose a parallel framework to optimize Bayesian network learning in the SC20 article entitled “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery”.
Juncheng Cao +7 more
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IEEE Transactions on Parallel and Distributed Systems, 2023
Ankit Srivastava et al. (Srivastava et al. 2020) proposed a parallel framework for Constraint-Based Bayesian Network (BN) Learning via Markov Blanket Discovery (referred to as ramBLe) and implemented it over three existing BN learning algorithms, namely,
Jiaqi Si +7 more
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Ankit Srivastava et al. (Srivastava et al. 2020) proposed a parallel framework for Constraint-Based Bayesian Network (BN) Learning via Markov Blanket Discovery (referred to as ramBLe) and implemented it over three existing BN learning algorithms, namely,
Jiaqi Si +7 more
semanticscholar +1 more source
Food Research International, 2023
The identification of geographical origins of soybean pastes using headspace gas chromatography-mass spectrometry was attempted in this study. Since soybean paste was odor-rich, 36 components were identified in the imported and domestic soybean samples ...
Seongsoo Jeong +5 more
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The identification of geographical origins of soybean pastes using headspace gas chromatography-mass spectrometry was attempted in this study. Since soybean paste was odor-rich, 36 components were identified in the imported and domestic soybean samples ...
Seongsoo Jeong +5 more
semanticscholar +1 more source
Markov blankets and Bayesian territories
Behavioral and Brain Sciences, 2022Abstract Bruineberg et al. argue that one ought not confuse the map (model) for the territory (reality) and delineate a distinction between innocuous Pearl blankets and metaphysically laden Friston blankets. I argue that all we have are models, all knowledge is conditional, and that if there is a Pearl/Friston distinction, it is a matter of the ...
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A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery
IEEE Transactions on Parallel and Distributed Systems, 2023Bayesian networks (BNs) are a widely used graphical model in machine learning. As learning the structure of BNs is NP-hard, high-performance computing methods are necessary for constructing large-scale networks.
Ankit Srivastava +2 more
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Markov Blankets for Sustainability
2023This paper’s aim is twofold: on the one hand, to provide an overview of the state of the art of some kind of Bayesian networks, i.e. Markov blankets (MB), focusing on their relationship with the cognitive theories of the free energy principle (FEP) and active inference.
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Behavioral and Brain Sciences, 2020
Abstract This commentary focuses upon the relationship between two themes in the target article: the ways in which a Markov blanket may be defined and the role of precision and salience in mediating the interactions between what is internal and external to a system.
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Abstract This commentary focuses upon the relationship between two themes in the target article: the ways in which a Markov blanket may be defined and the role of precision and salience in mediating the interactions between what is internal and external to a system.
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IEEE Transactions on Parallel and Distributed Systems, 2023
In SC20, (Srivastava et al. 2020) proposed a Parallel Framework for Bayesian Learning, or ramBLe, for short, which is a highly parallel and efficient framework for learning the structure of Bayesian Networks (BNs) from samples, There was a discrepancy in
Guancheng Li +9 more
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In SC20, (Srivastava et al. 2020) proposed a Parallel Framework for Bayesian Learning, or ramBLe, for short, which is a highly parallel and efficient framework for learning the structure of Bayesian Networks (BNs) from samples, There was a discrepancy in
Guancheng Li +9 more
semanticscholar +1 more source
Markov blankets and the preformationist assumption
Behavioral and Brain Sciences, 2022Abstract Bruineberg and colleagues argue that a realist interpretation of Markov blankets inadvertently relies upon unfounded assumptions. However, insofar as their diagnosis is accurate, their prescribed instrumentalism may ultimately prove insufficient as a complete remedy.
Mads Dengsø +2 more
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Genomic prediction for meat and carcass traits in Nellore cattle using a Markov blanket algorithm.
Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2022This study was carried out to evaluate the advantage of preselecting SNP markers using Markov blanket algorithm regarding the accuracy of genomic prediction for carcass and meat quality traits in Nellore cattle. This study considered 3675, 3680, 3660 and
F. Lopes +7 more
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