Calendar

There are three sessions, two Math Camps and an extra topic, at the bottom of the calendar. These will be given when students require the background needed to understand the next series of lectures and problems.

LEC #	TOPICS
1	The Course at a Glance
2	The Learning Problem in Perspective
3	Regularization and Reproducing Kernel Hilbert Spaces
4	Regression and Least-Squares Classification
5	Support Vector Machines for Classification
6	Generalization Bounds, Intro to Stability
7	Stability of Tikhonov Regularization
8	Consistency and Uniform Convergence over Function Classes
9	Necessary and Sufficient Conditions for Uniform Convergence
10	Bagging and Boosting
11	Computer Vision, Object Detection
12	Loose Ends
13	Approximation Theory
14	RKHS, Mercer Thm, Unbounded Domains, Frames and Wavelets
15	Bioinformatics
16	Text
17	Regularization Networks
18	Morphable Models for Video
19	Leave-One-Out Approximations
20	Bayesian Interpretations
21	Multiclass Classification
22	Stability and Glivenko-Cantelli Classes
23	Symmetrization, Rademacher Averages
24	Project Presentations
25	Project Presentations
Math Camp	Lagrange Multipliers/Convex Optimization
Math Camp	Functional Analysis
Extra Topic	SVM Rules of Thumb

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