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Hybrid Markov Blanket discovery
2016 23rd International Conference on Pattern Recognition (ICPR), 2016In a Bayesian Network (BN), a target node is independent of all other nodes given its Markov Blanket (MB). By finding the MB, many problem can be solved directly or indirectly. There exist predominately two different approaches to finding the MB: the score-based and the constraint-based algorithms.
Tian Gao, Qiang Ji
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Markov blankets do not demarcate the boundaries of the mind
Behavioral and Brain Sciences, 2022Abstract We agree with Bruineberg and colleagues' main claims. However, we urge for a more forceful critique by focusing on the extended mind debate. We argue that even once the Pearl and Friston versions of the Markov blanket have been untangled, that neither is sufficient for tackling and resolving the question of demarcating the boundaries of the
Richard Menary, Alexander J. Gillett
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International Workshop on Affective Interactions, 2022
Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilitating inference-like behaviour in living systems.
Miguel Aguilera +3 more
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Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilitating inference-like behaviour in living systems.
Miguel Aguilera +3 more
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Research on Optimization of Markov Blanket Algorithm Based on Bayesian Network
Journal of Computer Science and Frontier TechnologiesWith the advent of the big data era, the scale and complexity of data are con-stantly increasing, and feature selection has become one of the key issues in improving the performance and computational efficiency of machine learning models.15 The Markov ...
Yimiao Chen, Ziwei Liu
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Discovery of context-specific Markov blankets
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of
Assaf Klein, Solomon Eyal Shimony
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Causal Structure Learning Based on Genetic Algorithm and Markov Blanket
Cyber ..Discovering causal relationships inherent in observed data plays a crucial role in advancing scientific research. However, in most existing causal structure learning methods, score-based search approaches often suffer from poor scalability and struggle ...
Haoyu Wang +7 more
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Online Markov Blanket Discovery With Streaming Features
2020 IEEE International Conference on Knowledge Graph (ICKG), 2020The Markov blanket (MB) in Bayesian networks has attracted much attention since the MB of a target attribute (T) is the minimal feature subset with maximum prediction ability for classification. Nevertheless, traditional MB discovery methods such as IAMB, HITON-MB, and MMMB are not suitable for streaming features.
Dianlong You +5 more
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Markov blankets: Realism and our ontological commitments
Behavioral and Brain Sciences, 2022Abstract The authors argue that their target is orthogonal to the realism and instrumentalist debate. I argue that it is born directly from it. While the distinction is helpful in illuminating how some ontological commitments demand a theory of implementation, it's less clear whether different views cleanly map onto the epistemic and metaphysical ...
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Markov blanket and Markov boundary of multiple variables
J. Mach. Learn. Res., 2018Summary: Markov blanket (Mb) and Markov boundary (MB) are two key concepts in Bayesian networks (BNs). In this paper, we study the problem of Mb and MB for multiple variables. First, we show that Mb possesses the additivity property under the local intersection assumption, that is, an Mb of multiple targets can be constructed by simply taking the union
Xu-Qing Liu, Xin-sheng Liu
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Classification using Markov blanket for feature selection
2009 IEEE International Conference on Granular Computing, 2009Selecting relevant features is in demand when a large data set is of interest in a classification task. It produces a tractable number of features that are sufficient and possibly improve the classification performance. This paper studies a statistical method of Markov blanket induction algorithm for filtering features and then applies a classifier ...
Yifeng Zeng, Jian Luo, Shuyuan Lin
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