Collective Model Fusion for Multiple Black-Box Experts

36th International Conference on Machine Learning

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Bibliographic Details
Main Authors:	HOANG QUANG MINH, HOANG TRONG NGHIA, LOW KIAN HSIANG, Carleton Kingsford
Other Authors:	INTERACTIVE & DIGITAL MEDIA INSTITUTE
Format:	Conference or Workshop Item
Published:	International Machine Learning Society (IMLS) 2020
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/167750
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-167750
record_format	dspace
spelling	sg-nus-scholar.10635-1677502024-11-15T08:56:35Z Collective Model Fusion for Multiple Black-Box Experts HOANG QUANG MINH HOANG TRONG NGHIA LOW KIAN HSIANG Carleton Kingsford INTERACTIVE & DIGITAL MEDIA INSTITUTE DEPARTMENT OF COMPUTER SCIENCE 36th International Conference on Machine Learning 2742-2750 2020-05-06T01:42:21Z 2020-05-06T01:42:21Z 2019-06-09 Conference Paper HOANG QUANG MINH, HOANG TRONG NGHIA, LOW KIAN HSIANG, Carleton Kingsford (2019-06-09). Collective Model Fusion for Multiple Black-Box Experts. 36th International Conference on Machine Learning : 2742-2750. ScholarBank@NUS Repository. 9781510886988 https://scholarbank.nus.edu.sg/handle/10635/167750 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ International Machine Learning Society (IMLS)
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	36th International Conference on Machine Learning
author2	INTERACTIVE & DIGITAL MEDIA INSTITUTE
author_facet	INTERACTIVE & DIGITAL MEDIA INSTITUTE HOANG QUANG MINH HOANG TRONG NGHIA LOW KIAN HSIANG Carleton Kingsford
format	Conference or Workshop Item
author	HOANG QUANG MINH HOANG TRONG NGHIA LOW KIAN HSIANG Carleton Kingsford
spellingShingle	HOANG QUANG MINH HOANG TRONG NGHIA LOW KIAN HSIANG Carleton Kingsford Collective Model Fusion for Multiple Black-Box Experts
author_sort	HOANG QUANG MINH
title	Collective Model Fusion for Multiple Black-Box Experts
title_short	Collective Model Fusion for Multiple Black-Box Experts
title_full	Collective Model Fusion for Multiple Black-Box Experts
title_fullStr	Collective Model Fusion for Multiple Black-Box Experts
title_full_unstemmed	Collective Model Fusion for Multiple Black-Box Experts
title_sort	collective model fusion for multiple black-box experts
publisher	International Machine Learning Society (IMLS)
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/167750
_version_	1821222847452807168

Collective Model Fusion for Multiple Black-Box Experts

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