Unsupervised co-training of bayesian networks for condition prediction

Mathilde Monvoisin (1, 2) , Philippe Leray (1, 3) , Mathieu Ritou (4, 5)

1 LS2N - équipe DUKe - Data User Knowledge
2 IRT Jules Verne - Institut de Recherche Technologique Jules Verne [Bouguenais]
3 EPUN - Ecole Polytechnique de l'Université de Nantes
4 LS2N - équipe RoMas - Robots and Machines for Manufacturing, Society and Services
5 IUT Nantes - Institut Universitaire de Technologie - Nantes

Mots clés: Bayesian network; EM algorithm; Unsupervised learning; Co-training; Industry 4.0; Condition-based maintenance

Domaines: Apprentissage [cs.LG]

Mathilde Monvoisin, Philippe Leray, Mathieu Ritou. Unsupervised co-training of bayesian networks for condition prediction. 34th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, 2021, Kuala Lumpur, Malaysia. pp.577-588, ⟨10.1007/978-3-030-79463-7_49⟩. ⟨hal-03172024⟩