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:	DEPARTMENT OF COMPUTER SCIENCE
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.10635-1677502024-04-25T06:33:35Z Collective Model Fusion for Multiple Black-Box Experts HOANG QUANG MINH HOANG TRONG NGHIA LOW KIAN HSIANG Carleton Kingsford DEPARTMENT OF COMPUTER SCIENCE INTERACTIVE & DIGITAL MEDIA INSTITUTE 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	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE 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_	1800913984754286592

Collective Model Fusion for Multiple Black-Box Experts

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