iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation

Author:

Han Jindong1ORCID,Liu Hao2ORCID,Liu Shui3ORCID,Chen Xi3ORCID,Tan Naiqiang3ORCID,Chai Hua3ORCID,Xiong Hui2ORCID

Affiliation:

1. The Hong Kong University of Science and Technology, Hong Kong, China

2. The Hong Kong University of Science and Technology (Guangzhou) & Guangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, China

3. Didichuxing Co. Ltd., Beijing, China

Funder

Guangzhou Science and Technology Plan Guangzhou-HKUST(GZ) Joint Project

Foshan HKUST Projects

National Natural Science Foundation of China

Publisher

ACM

Reference45 articles.

1. Mart'in Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . TensorFlow: a system for large-scale machine learning . In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) . 265--283. Mart'in Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. TensorFlow: a system for large-scale machine learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16). 265--283.

2. Incremental and decremental support vector machine learning;Cauwenberghs Gert;Advances in Neural Information Processing Systems,2000

3. XGBoost

4. TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

5. Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival

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