Fast valuation of large portfolios of variable annuities via transfer learning Cheng, Xiaojuan, Luo, Wei, Gan, Guojun and Li, Gang 2019, Fast valuation of large portfolios of variable annuities via transfer learning, in PRICAI 2019: Trends in Artificial Intelligence, Springer, Berlin, Germany, pp. 716-728, doi: 10.1007/978-3-030-29894-4_57. Attached Files Name Description MIMEType Size Downloads Title Fast valuation of large portfolios of variable annuities via transfer learning Author(s) Cheng, Xiaojuan Luo, Wei orcid.org/0000-0002-4711-7543 Gan, Guojun Li, Gang orcid.org/0000-0003-1583-641X Conference name Pacific Rim International Conference of Artificial Intelligence (2019 : Cuvu, Fiji) Conference location Cuvu, Fiji Conference dates 2019/08/26 - 2019/08/30 Title of proceedings PRICAI 2019: Trends in Artificial Intelligence Editor(s) Nayak, A Sharma, A Publication date 2019 Series Lecture Notes in Computer Science Start page 716 End page 728 Total pages 13 Publisher Springer Place of publication Berlin, Germany ISBN 9783030298937 ISSN 0302-9743 Language eng DOI 10.1007/978-3-030-29894-4_57 Indigenous content off Field of Research 08 Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30129687 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 10 Sep 2019, 14:30:13 EST Wed, 11 Sep 2019, 05:00:49 EST Wed, 11 Sep 2019, 06:04:37 EST Thu, 03 Oct 2019, 14:57:12 EST Thu, 03 Oct 2019, 15:01:10 EST Thu, 03 Oct 2019, 15:03:03 EST Thu, 03 Oct 2019, 15:16:57 EST Sat, 19 Oct 2019, 01:33:12 EST Sat, 12 Sep 2020, 02:30:55 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 212 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 10 Sep 2019, 14:30:13 EST

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