Disjunctive Threshold Networks for Tabular Data Classification

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Wang, Weijia, et al. “Disjunctive Threshold Networks for Tabular Data Classification”. IEEE Open Journal of the Computer Society, vol. 4, 2023, pp. 185-94, https://doi.org/10.1109/ojcs.2023.3282948.
Wang, W., Qiao, L., & Lin, B. (2023). Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open Journal of the Computer Society, 4, 185-194. https://doi.org/10.1109/ojcs.2023.3282948
Wang W, Qiao L, Lin B. Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open Journal of the Computer Society. 2023;4:185-94.
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Refrences
Title Journal Journal Categories Citations Publication Date
A Bayesian framework for learning rule sets for interpretable classification 2017
Boolean decision rules via column generation 0
Learning both weights and connections for efficient neural networks 0
$l_{0}$-arm: Network sparsification via stochastic binary optimization 0
LightGBM: A highly efficient gradient boosting decision tree 0