A4 Article in conference proceedings
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints (2017)

Maslov, A., Pechenizkiy, M., Pei, Y., Zliobaite, I., Shklyaev, A., Kärkkäinen, T., & Hollmén, J. (2017). BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. In IJCNN 2017 : Proceedings of the 2017 International Joint Conference on Neural Networks (pp. 1916-1923). IEEE. doi:10.1109/IJCNN.2017.7966085

JYU authors or editors

Publication details

All authors or editors: Maslov, Alexandr; Pechenizkiy, Mykola; Pei, Yulong; Zliobaite, Indrè; Shklyaev, Alexander; Kärkkäinen, Tommi; Hollmén, Jaakko

Parent publication: IJCNN 2017 : Proceedings of the 2017 International Joint Conference on Neural Networks

ISBN: 978-1-5090-6181-5

ISSN: 2161-4393

Publication year: 2017

Pages range: 1916-1923

Number of pages in the book: 4664

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/IJCNN.2017.7966085

Open Access: Publication channel is not openly available

Additional information: 2017 International Joint Conference on Neural Networks, IJCNN 2017; Anchorage; United States; 14 May 2017 through 19 May 2017.

Keywords: machine learning

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1