Pattern recognition with a Bayesian kernel combination machine

By T. Damoulas, Mark A. Girolami. 2009

37 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): “The latter is important since linear combinations may lead to unstable learning [14].”
• Multiple Kernel Learning Algorithms (2011, unknown): “Damoulas and Girolami (2008, 2009a) apply these methods to different bioinformatics problems, such as protein fold recognition and remote homology problems, and improve the prediction performances for these tasks.”