Closed-form dual perturb and combine for tree-based models

By Pierre Geurts, Louis Wehenkel. 2005

13 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

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. Bernhard Pfahringer
2. Eibe Frank
3. Michael J. Cree
4. Henry Gouk
5. Min-Ling Zhang
6. Albert Bifet
7. G. Holmes
8. João Gama

In Statistics and Probability

1. Bernhard Pfahringer
2. Michael J. Cree
3. Henry Gouk
4. Eibe Frank
5. Peter A. Flach

Citations in the corpus

• Regularisation of neural networks by enforcing Lipschitz continuity (2018, methodology): “To evaluate how well the LCC regularisers work on tabular data, we have trained fully connected networks on the classification datasets collected by Geurts and Wehenkel (2005).”
• Neural Random Forests (2016, unknown): “Similar ideas are developed in the so-called soft tree models (Jordan and Jacobs, 1994; Olaru and Wehenkel, 2003; Geurts and Wehenkel, 2005; Yildiz and Alpaydin, 2013).”