Zobrazeno 1 - 3
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pro vyhledávání: '"Neville K. Kitson"'
Publikováno v:
International Journal of Approximate Reasoning. 151:292-321
Learning the structure of a Bayesian Network (BN) with score-based solutions involves exploring the search space of possible graphs and moving towards the graph that maximises a given objective function. Some algorithms offer exact solutions that gua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6376bfb714fdae5de39cf632946a7482
https://doi.org/10.1016/j.ijar.2022.09.016
https://doi.org/10.1016/j.ijar.2022.09.016
In Bayesian Networks (BNs), the direction of edges is crucial for causal reasoning and inference. However, Markov equivalence class considerations mean it is not always possible to establish edge orientations, which is why many BN structure learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d6f4a2c3c3078c54b4e5c97caacf6e2
http://arxiv.org/abs/2112.10574
http://arxiv.org/abs/2112.10574
Causal Bayesian networks have become a powerful technology for reasoning under uncertainty in areas that require transparency and explainability, by relying on causal assumptions that enable us to simulate hypothetical interventions. The graphical st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c41db202a517ce156d98cfeec5d04e8
http://arxiv.org/abs/2102.00473
http://arxiv.org/abs/2102.00473