Migration as Submodular Optimization

Migration presents sweeping societal challenges that have recently attracted significant attention from the scientific community. One of the prominent approaches that have been suggested employs optimization and machine learning to match migrants to localities in a way that maximizes the expected nu...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Gölz, Paul, Procaccia, Ariel D
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 15.11.2018
Subjects:	Competition Computer simulation Greedy algorithms Machine learning Migration Optimization
ISSN:	2331-8422
Online Access:	Get full text
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