Improving armed conflict prediction using machine learning : ViEWS+

Improving armed conflict prediction using machine learning : ViEWS+

Our project, ViEWS+, expands the software functionality of the Violence EarlyWarning System (ViEWS). ViEWS aims to predict the probabilities of armed conflicts in the next 36 months using machine learning. Governments and policy-makers may use conflict predictions to decide where to deliver aid and...

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Bibliographic Details
Main Authors: Helle, Valeria, Negus, Andra-Stefania, Nyberg, Jakob
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för informationsteknologi 2018
Subjects:
Machine learning
supervised machine learning
conflict prediction
peace and conflict
feature selection
parameter selection
random forest
decision trees
Computer and Information Sciences
Data- och informationsvetenskap
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354845

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354845

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