Tailored Military Recruitment through Machine Learning Algorithms

Robert Bryce, Ryuichi Ueno, Christopher Mcdonald, Dragos Calitoiu

2021

Abstract

Identifying postal codes with the highest recruiting potential corresponding to the desired profile for a military occupation can be achieved by using the demographics of the population living in that postal code and the location of both the successful and unsuccessful applicants. Selecting N individuals with the highest probability to be enrolled from a population living in untapped postal codes can be done by ranking the postal codes using a machine learning predictive model. Three such models are presented in this paper: a logistic regression, a multi-layer perceptron and a deep neural network. The key contribution of this paper is an algorithm that combines these models, benefiting from the performance of each of them, producing a desired selection of postal codes. This selection can be converted into N prospects living in these areas. A dataset consisting of the applications to the Canadian Armed Forces (CAF) is used to illustrate the methodology proposed.

Paper Citation

in Harvard Style

Bryce R., Ueno R., Mcdonald C. and Calitoiu D. (2021). Tailored Military Recruitment through Machine Learning Algorithms. In Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA, ISBN 978-989-758-526-5, pages 87-92. DOI: 10.5220/0010506500870092

in Bibtex Style

@conference{delta21,
author={Robert Bryce and Ryuichi Ueno and Christopher Mcdonald and Dragos Calitoiu},
title={Tailored Military Recruitment through Machine Learning Algorithms},
booktitle={Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,},
year={2021},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010506500870092},
isbn={978-989-758-526-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,
TI - Tailored Military Recruitment through Machine Learning Algorithms
SN - 978-989-758-526-5
AU - Bryce R.
AU - Ueno R.
AU - Mcdonald C.
AU - Calitoiu D.
PY - 2021
SP - 87
EP - 92
DO - 10.5220/0010506500870092