Mixture of Experts based Model Integration for Traffic State Prediction

2022 IEEE Vehicular Technology Conference (VTC2022-Spring)

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Bibliographic Details
Main Authors:	Chattopadhyay, Rajarshi, Tham, Chen Khong
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Conference or Workshop Item
Published:	2022
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/228318
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-228318
record_format	dspace
spelling	sg-nus-scholar.10635-2283182024-11-12T19:26:00Z Mixture of Experts based Model Integration for Traffic State Prediction Chattopadhyay, Rajarshi Tham, Chen Khong ELECTRICAL AND COMPUTER ENGINEERING Assoc Prof Chen Khong Tham 2022 IEEE Vehicular Technology Conference (VTC2022-Spring) completed 2022-07-12T09:26:19Z 2022-07-12T09:26:19Z 2022-06-19 2022-07-10T11:03:45Z Conference Paper Chattopadhyay, Rajarshi, Tham, Chen Khong (2022-06-19). Mixture of Experts based Model Integration for Traffic State Prediction. 2022 IEEE Vehicular Technology Conference (VTC2022-Spring). ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/228318 Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	2022 IEEE Vehicular Technology Conference (VTC2022-Spring)
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING Chattopadhyay, Rajarshi Tham, Chen Khong
format	Conference or Workshop Item
author	Chattopadhyay, Rajarshi Tham, Chen Khong
spellingShingle	Chattopadhyay, Rajarshi Tham, Chen Khong Mixture of Experts based Model Integration for Traffic State Prediction
author_sort	Chattopadhyay, Rajarshi
title	Mixture of Experts based Model Integration for Traffic State Prediction
title_short	Mixture of Experts based Model Integration for Traffic State Prediction
title_full	Mixture of Experts based Model Integration for Traffic State Prediction
title_fullStr	Mixture of Experts based Model Integration for Traffic State Prediction
title_full_unstemmed	Mixture of Experts based Model Integration for Traffic State Prediction
title_sort	mixture of experts based model integration for traffic state prediction
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/228318
_version_	1821233510653886464

Mixture of Experts based Model Integration for Traffic State Prediction

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