Understanding Urban Dynamics via State-sharing Hidden Markov Model-Reference-Cited by-同舟云学术

Understanding Urban Dynamics via State-sharing Hidden Markov Model

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Xia Tong¹,Yu Yue¹,Xu Fengli¹,Sun Funing²,Guo Diansheng³,Jin Depeng¹,Li Yong¹

Affiliation:

1. 1Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China

2. 2Tencent Inc., Beijing, China

3. Tencent Inc., Beijing, China

Publisher

ACM Press

Reference27 articles.

1. Sofiane Abbar, Tahar Zanouda, Noora Al-Emadi, and Rachida Zegour. 2018. City of the People, for the People: Sensing Urban Dynamics via Social Media Interactions. In Social Informatics. 3-14.

2. J. R. Bellegarda and D. Nahamoo. 1990. Tied mixture continuous parameter modeling for speech recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing 38, 12 (Dec 1990), 2033-2045.

3. D. L. Davies and D. W. Bouldin. 1979. A Cluster Separation Measure. T-PAMI (April 1979), 224-227.

4. Arthur P Dempster, Nan M Laird, and Donald B Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the royal statistical society. Series B (methodological) (1977), 1-38.

5. Manuel Garcia Docampo. 2014. Theories of Urban Dynamics. In International Journal of Population Research, Vol. 2014.

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