Bayesian Network Classifiers

This repository contains the code of research projects concerned with Bayesian network classifiers.

Differentiable TAN Structure Learning for Bayesian Network Classifiers

The directory pgm-2020 contains experiments of the paper

@INPROCEEDINGS{Roth2020a,
    title = {Differentiable {TAN} Structure Learning for {B}ayesian Network Classifiers},
    author = {Wolfgang Roth and Franz Pernkopf},
    booktitle = {International Conference on Probabilistic Graphical Models (PGM)},
    year = {2020},
}

This paper is also available at https://arxiv.org/abs/2008.09566.

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks

The directory icpr-2020 contains experiments of the paper

@INPROCEEDINGS{Roth2020b,
    title = {On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks},
    author = {Wolfgang Roth and G{\"{u}}nther Schindler and Holger Fr{\"{o}}ning and Franz Pernkopf},
    booktitle = {International Conference on Pattern Recognition (ICPR)},
    year = {2020 (accepted for publication)},
}

This paper is also available at https://arxiv.org/abs/2010.11773.

Datasets

The directory datasets contains several datasets. These datasets contain discretized features (see Fayyad and Irani (1993)). Files ending with _mi contain precomputed mutual information graphs required to compute the Chow-Liu TAN structure (see Friedman et al. (1997)).