DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies

Enes Makalic, Daniel F. Schmidt, John L. Hopper. DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies. In Stephen Cranefield, Abhaya Nayak, editors, AI 2013: Advances in Artificial Intelligence - 26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings. Volume 8272 of Lecture Notes in Computer Science, pages 80-85, Springer, 2013. [doi]

Authors

Enes Makalic

This author has not been identified. Look up 'Enes Makalic' in Google

Daniel F. Schmidt

This author has not been identified. Look up 'Daniel F. Schmidt' in Google

John L. Hopper

This author has not been identified. Look up 'John L. Hopper' in Google