Machine-learning analysis of leadership formation in China to parse the roles of loyalty and institutional norms
A thriving cottage industry has long tried to predict the selection outcomes of the Chinese leadership using qualitative judgments based on historical trends and elite interviews. This study contributes to the discourse by adopting machine-learning techniques to quantitatively and systematically eva...
Saved in:
Main Authors: | Lee, Jonghyuk, Shih, Victor C. |
---|---|
Other Authors: | S. Rajaratnam School of International Studies |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173507 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine-learning applications to authoritarian selections: the case of China
by: Lee, Jonghyuk
Published: (2024) -
Party adaptation strategies for provincial standing committees in post-Mao China : coping with crisis without political reform
by: Lee, Jonghyuk
Published: (2021) -
Determining intent of conversations through machine learning
by: Del Mundo, Gabriel V.
Published: (2018) -
Evolutionary voting-based extreme learning machines
by: Liu, N, et al.
Published: (2020) -
Machine learning applications for smart grids with solar PVs
by: Han, Weichou
Published: (2024)