Seminar on Jan 15th
Morning
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()
Afternoon
Lecture on Support Vector Machine (by Professor. Shin.)
prerequisite: read the uploaded papers thoroughly, as well as the tutorial of Support Vector Machine!! |