Home » Best Paper Award to Gayle Leen, Jaakko Peltonen and Samuel Kaski

Best Paper Award to Gayle Leen, Jaakko Peltonen and Samuel Kaski

Dr. Gayle Leen (now at deCODE genetics, Reykjavik), Docent Jaakko Peltonen and Professor Samuel Kaski of HIIT won the Award for Best Paper in Machine Learning at ECML PKDD 2011, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. The winning paper, titled "Focused Multi-task Learning Using Gaussian Processes", presents a computational method for enhancing performance on a target task by asymmetrically making use of data from other tasks.

Link to electronic proceedings: http://dx.doi.org/10.1007/978-3-642-23783-6_20