Mathematics 547:
Mathematical Foundations of Statistical Learning Theory (3.0 units)
Binary classification, empirical risk minimization, support vector machines, voting algorithms and AdaBoost, Vapnik-Chervonenkis combinatorics, concentration-of-measure inequalities, sparse recovery problems, high-dimensional convex geometry.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39752R | 001 | Lecture | 1:00-1:50pm | MWF | 1 of 30 | GFS109 |  |