| SES # | TOPICS | SUMMARY | SLIDES |
|---|---|---|---|
| 1 | The Course at a Glance | (PDF) | (PDF - 8.10 MB) |
| 2 | The Learning Problem in Perspective | (PDF) | (PDF) |
| 3 | Reproducing Kernel Hilbert Spaces | (PDF) | (PDF) |
| 4 | Regression and Least-Squares Classification | (PDF) | (PDF) |
| 5 | Support Vector Machines for Classification | (PDF) | (PDF) |
| 6 | Manifold Regularization | (PDF) | (PDF) |
| 7 | Unsupervised Learning Techniques | (PDF) | (PDF) |
| 8 | Multiclass | (PDF) | (PDF) |
| 9 | Ranking | (PDF) | (PDF)# |
| 10 | Boosting and Bagging | (PDF) | (PDF) |
| 11 | Computer Vision Object Detection | ||
| 12 | Online Learning | (PDF) | (PDF) |
| 13 | Loose Ends Project Discussions | ||
| 14 | Generalization Bounds Introduction to Stability | (PDF) | (PDF) |
| 15 | Stability of Tikhonov Regularization | (PDF) | (PDF) |
| 16 | Uniform Convergence Over Function Classes | (PDF) | (PDF) |
| 17 | Uniform Convergence for Classification VC-dimension | (PDF) | (PDF) |
| 18 | Neuroscience | (PDF) | (PDF - 2.5 MB)# |
| 19 | Symmetrization Rademacher Averages | ||
| 20 | Fenchel Duality | ||
| 21 | Speech / Audio | ||
| 22 | Active Learning | (PDF) | |
| 23 | Morphable Models for Video | ||
| 24 | Bioinformatics | ||
| 25 | Project Presentations | ||
| 26 | Project Presentations (cont.) | ||
| Math Camp 1: Functional Analysis | (PDF) | ||
| Math Camp 2: Probability Theory | (PDF) |