Robust Boosting Algorithm Against Mislabeling in Multiclass Problems

By Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori. 2008

26 citations recorded by the source corpus.

Subfields: Artificial Intelligence

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. Ata Kabán
2. Jakramate Bootkrajang
3. P. Shanti Sastry
4. Himanshu Kumar
5. Jacob Goldberger
6. Ehud Ben-Reuven

Citations in the corpus

• Learning kernel logistic regression in the presence of class label noise (2014, background): “Malicious label noise is when label flipping happens more near the decision boundary [42].”