Forecasting conflict using RNNs

The rise in machine learning has made the subject interesting for new types of uses. This Master thesis implements and evaluates an LSTM-based algorithm on the conflict forecasting problem. Data is structured in country-month pairs, with information about conflict, economy, demography, democracy and...

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Bibliographic Details
Main Author: Hellman, Simon
Format: Others
Language:English
Published: Uppsala universitet, Signaler och system 2021
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445859