no code implementations • 18 Jan 2024 • Lincen Yang, Matthijs van Leeuwen
To address these shortcomings, we propose TURS, for Truly Unordered Rule Sets.
1 code implementation • 17 Jun 2022 • Lincen Yang, Matthijs van Leeuwen
Still, existing methods have several shortcomings: 1) most recent methods require a binary feature matrix as input, while learning rules directly from numeric variables is understudied; 2) existing methods impose orders among rules, either explicitly or implicitly, which harms interpretability; and 3) currently no method exists for learning probabilistic rule sets for multi-class target variables (there is only one for probabilistic rule lists).
1 code implementation • 13 Jan 2021 • Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Further, we show that CMI can be consistently estimated for discrete-continuous mixture variables by learning an adaptive histogram model.
Causal Discovery Information Theory Information Theory Applications
1 code implementation • 2 Jun 2020 • Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen
As the flexibility of our model class comes at the cost of a vast search space, we introduce a heuristic algorithm, named PALM, which Partitions each dimension ALternately and then Merges neighboring regions, all using the MDL principle.