Multi-way learning & Support vector machines
Session details
Multi-way learning & Support vector machines
Wednesday 9 September
13:20 - 15:50
Location: Room Preseren - Hotel Park
| 13:20 | Two-Way Analysis of High-Dimensional Collinear Data (Ilkka Huopaniemi,Tommi Suvitaival, Janne Nikkila, Matej Oresic, Samuel Kaski) |
| 13:45 | Feature Weighting using Margin and Radius based Error Bound Optimization in SVMs (Huyen Thi Thanh Do, Alexandros Kalousis, Melanie Hilario) |
| 14:10 | Margin and Radius Based Multiple Kernel Learning (Huyen Thi Thanh Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario) |
| 14:35 | Sparse Kernel SVMs via Cutting-Plane Training (Thorsten Joachims, Chun-Nam Yu) |
| 15:00 | Kernel Polytope Faces Pursuit (Tom Diethe, Zakria Hussain) |
| 15:25 | Decomposition Algorithms for Training Large-scale Semiparametric Support Vector Machines (Sangkyun Lee, Stephen Wright) |