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Found 170 Documents (Results 1–100)

Descriptive accuracy in explanations: the case of probabilistic classifiers. (English) Zbl 1524.68251

Dupin de Saint-Cyr, Florence (ed.) et al., Scalable uncertainty management. 15th international conference, SUM 2022, Paris, France, October 17–19, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13562, 279-294 (2022).
MSC:  68T01

Updating probabilistic knowledge on condition/event nets using Bayesian networks. (English) Zbl 1520.68090

Schewe, Sven (ed.) et al., 29th international conference on concurrency theory. CONCUR 2018, Beijing, China, September 4–7, 2018. Proceedings. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 118, Article 27, 17 p. (2018).

Climbing down the hierarchy: hierarchical classification for machine learning side-channel attacks. (English) Zbl 1408.94959

Joye, Marc (ed.) et al., Progress in cryptology – AFRICACRYPT 2017. 9th international conference on cryptology in Africa, Dakar, Senegal, May 24–26, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10239, 61-78 (2017).
MSC:  94A60
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When learning naive Bayesian classifiers preserves monotonicity. (English) Zbl 1341.68166

Liu, Weiru (ed.), Symbolic and quantitative approaches to reasoning with uncertainty. 11th European conference, ECSQARU 2011, Belfast, UK, June 29 – July 1, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-22151-4/pbk). Lecture Notes in Computer Science 6717. Lecture Notes in Artificial Intelligence, 422-433 (2011).
MSC:  68T05 62H30
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