Learning interpretable classification rules using sequential rowsampling

By Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney. 2015

10 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yongxin Yang
2. Timothy M. Hospedales
3. Tao A. Xiang
4. Irene Garcia Morillo
5. Kaiyang Zhou
6. Yi-Zhe Song
7. Sebastian Ruder
8. Yu Qiao

In Computational Mechanics

1. Timothy M. Hospedales
2. Yongxin Yang
3. Irene Garcia Morillo

Citations in the corpus

• Deep Neural Decision Trees (2018, methodology): “Some are model-agnostic (Ribeiro et al., 2016), while most are associated with a certain type of model, e.g., rule-based classifiers (Dash et al., 2015; Malioutov et al., 2017), nearest neighbour models (Kim et al., 2016), and neural networks (Kim et al., 2017).”