1. Introduction to Statistical Learning Theory
2. Risk bounds for statistical learning
3. Active learning with disagreement graphs;cortes;Proc 36th Int Conf Mach Learn,0
4. Active learning with a drifting distribution;yang;Proc Adv Neural Inf Process Syst,0
5. Linear classification and selective sampling under low noise conditions;cavallanti;Proc Adv Neural Inf Process Syst,0