Mixed integer programming formulation of unsupervised learning
Machine Learning
2020-01-22 v1 Disordered Systems and Neural Networks
Machine Learning
Abstract
A novel formulation and training procedure for full Boltzmann machines in terms of a mixed binary quadratic feasibility problem is given. As a proof of concept, the theory is analytically and numerically tested on XOR patterns.
Cite
@article{arxiv.2001.07278,
title = {Mixed integer programming formulation of unsupervised learning},
author = {Arturo Berrones-Santos},
journal= {arXiv preprint arXiv:2001.07278},
year = {2020}
}