Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates
Machine Learning
2020-03-24 v1 Machine Learning
Abstract
In this work we cast the problem of binary classification in terms of estimating a partition on Bernoulli data. When the explanatory variables are all categorical, the problem can be modelled using the language of boolean functions. We offer a probabilistic analysis of the problem, and propose two algorithms for learning boolean functions from binary data.
Cite
@article{arxiv.2003.09454,
title = {Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates},
author = {Paulo Hubert},
journal= {arXiv preprint arXiv:2003.09454},
year = {2020}
}