Anticipative Bayesian classification for data streams with verification latency
Author:
Affiliation:
1. Department of Operations and Information Systems, University of Graz, Graz, Austria
2. Algorithmic Data Analysis Group, Department of Information & Computing Sciences, Utrecht University, Utrecht, The Netherlands
Funder
Oesterreichische Nationalbank
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2319222
Reference48 articles.
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2. M. Arostegi A.I. Torre-Bastida J.L. Lobo M.N. Bilbao and J. Del Ser Concept tracking and adaptation for drifting data streams under extreme verification latency in Intelligent Distributed Computing XII. IDC 2018. Studies in Computational Intelligence J. Del Ser E. Osaba M. Bilbao J. Sanchez-Medina M. Vecchio and X.S. Yang eds. Vol. 798. Springer Cham pp. 11–25.
3. M. Bahri S. Maniu and A. Bifet A sketch-based naive bayes algorithms for evolving data streams 2018 IEEE International Conference on Big Data (Big Data) Seattle WA USA 2018 pp. 604–613.
4. Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations
5. N. Courty R. Flamary and D. Tuia Domain adaptation with regularized optimal transport in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2014. Lecture Notes in Computer Science T. Calders F. Esposito E. Hüllermeier and R. Meo eds. Vol. 8724. Springer Berlin.
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