[R] Supervised structure learning

**Paper**: [https://arxiv.org/abs/2311.10300](https://arxiv.org/abs/2311.10300)

**Abstract**:

>This paper concerns structure learning or discovery of discrete generative models. It focuses on Bayesian model selection and the assimilation of training data or content, with a special emphasis on the order in which data are ingested. A key move - in the ensuing schemes - is to place priors on the selection of models, based upon expected free energy. In this setting, expected free energy reduces to a constrained mutual information, where the constraints inherit from …

abstract bayesian concerns data discovery free generative generative models machinelearning model selection paper training training data