Seminar on Jan 22th
Session 1 (13:00~15:00)
1. Semi-Supervised Learning on Riemannian Manifolds(ؿ)
2. A statistical framework for genomic data fusion()
3. Forecasting Stock Prices Using a Hierarchical Bayesian Approach()
Session 2 (15:30~ 18:00)
1. Choosing Multiple Parameters contd. ()
2. Independent Component Analysis (ICA) (text book review) ()
3. Kernel Principal Component Analysis()
The reading materials would be distributed offline. Get ready for that! |