Triplet offline causal discovery based on optimal Markov blanket and its application
Abstract Offline constraint-based causal feature selection (OC-CFS) algorithms are essential for identifying causal relationships from observational data. However, existing methods often suffer from limitations such as low prediction accuracy or high computational cost, particularly when sample size...
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| Principais autores: | , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
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Nature Portfolio
2025-11-01
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| Serier: | Scientific Reports |
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| Online adgang: | https://doi.org/10.1038/s41598-025-24421-w |
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