Modelling in Classification and Statistical Learning Workshop

Penalized empirical risk minimization in the estimation of thresholds

author: Leila Mohammadi, Eurandom

You might be experiencing some problems with Your Video player.

*Slides*
0:01	Penalized empirical risk minimization in the estimation of thresholds
0:25	Introduction
2:10	Empirical risk
3:21	Penalized empirical risk minimizer
6:06	Penalized empirical risk minimizer
8:25	Lemma 1.
15:10	Assumption (A).
20:37	Sketch of a proof
22:38	Sketch of a proof
23:40	Sketch of a proof
25:00	Assumption (A).
25:20	Sketch of a proof
25:50	Assumption (A).
25:54	Sketch of a proof
26:15	Assumption (A).
26:23	Theorem 2.
27:09	An application:
30:50	An application:
31:03	Assumption (B).
36:40	Lemma 2.

Lecture rating

People found this lecture:
Worth seeing
because it is:
Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.