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Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data

journal contribution

posted on 2021-03-01, 00:00 authored by Yuan Jin, Ming LiuMing Liu, Y Li, R Xu, L Du, Longxiang GaoLongxiang Gao, Yong XiangYong Xiang

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data

History

Journal

Data Mining and Knowledge Discovery

Volume

35

Issue

2

Pagination

505 - 532

Publisher

SPRINGER

Publisher DOI

https://doi.org/10.1007/s10618-020-00723-7

ISSN

1384-5810

eISSN

1573-756X

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000597435200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

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Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data

Research Publications

Categories

Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science Non-negative tensor factorization Variational auto-encoders Neural networks Latent variable modelling Count data

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