Semi-supervised learning
author:
Guido Sanguinetti,
University of Sheffield
Description
This presentation is an introduction to semi-supervised learning.
You might be experiencing some problems with Your Video player.
| Slides | |
| 0:00 | Semi-supervised learning |
| 0:07 | Programme |
| 1:02 | Disclaimer |
| 1:56 | Different ways to learn |
| 2:39 | Unsupervised learning |
| 7:12 | Example: mixture of Gaussians |
| 9:17 | Estimating mixtures |
| 10:52 | Expectation-Maximization |
| 12:06 | Jensen’s inequality |
| 15:41 | Bound on the log-likelihood |
| 15:46 | Expectation-Maximization |
| 16:03 | Jensen’s inequality |
| 16:11 | Bound on the log-likelihood |
| 19:38 | EM |
| 19:46 | Estimating mixtures |
| 19:55 | Bound on the log-likelihood |
| 19:58 | EM |
| 21:43 | Bound on the log-likelihood |
| 22:33 | Expectation-Maximization |
| 31:53 | EM |
| 31:58 | Supervised learning |
| 33:09 | Classification-Generative |
| 35:30 | Example: discriminant analysis |
| 41:37 | Classification-Discriminative |
| 42:38 | Classification-Generative |
| 42:49 | Classification-Discriminative |
| 42:56 | Example: logistic regression |
| 44:11 | Estimating logistic regression |
| 45:59 | Semi-supervised learning |
| 48:17 | Notation |
| 49:17 | Baselines |
| 51:05 | Generative SSL |
| 53:09 | Discriminant analysis |
| 54:42 | A surprising result |
| 59:35 | A way out |
| 63:13 | A hornets’ nest |
| 64:17 | Stability |
| 65:16 | A hornets’ nest |
| 66:01 | Stability |
| 67:01 | Discriminative SSL |
| 68:05 | Surprise! |
| 69:31 | Discriminative SSL |
| 69:44 | Surprise! |
| 69:45 | Regularization |
| 71:26 | Discriminative vs Generative |
| 72:32 | Cluster assumption |
| 75:58 | Manifold assumption |
| 77:13 | Manifolds cont. |
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.
Related content
Visitors who watched this lecture also watched...
4 comments
Download slides:
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
