Gaussian Process Kernels for Popular State-Space Time Series Models

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)
171 Downloads (Pure)
Original languageEnglish
Title of host publicationProc. of the Int. Joint. Conf. on Neural Networks (IJCNN 2016)
Subtitle of host publication(IJCNN 2016), Vancouver, Canada, July 2016
PublisherIEEE
Pages3354-3363
ISBN (Electronic)978-1-5090-0619-9
DOIs
Publication statusPublished - Jul 2016
MoE publication typeA4 Article in a conference publication
EventInternational Joint Conference on Neural Networks - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016

Publication series

NameInternational joint conference on neural networks
PublisherIEEE
ISSN (Electronic)2161-4407

Conference

ConferenceInternational Joint Conference on Neural Networks
Abbreviated titleIJCNN
CountryCanada
CityVancouver
Period24/07/201629/07/2016

Cite this

Grigorevskiy, A., & Karhunen, J. (2016). Gaussian Process Kernels for Popular State-Space Time Series Models. In Proc. of the Int. Joint. Conf. on Neural Networks (IJCNN 2016): (IJCNN 2016), Vancouver, Canada, July 2016 (pp. 3354-3363). (International joint conference on neural networks). IEEE. https://doi.org/10.1109/IJCNN.2016.7727628