Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates
2020-03-20Code Available0· sign in to hype
Paulo Hubert
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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.