Functional Analysis in Data Modelling
author:
Tony Dodd,
University of Sheffield
Description
This second presentation describes the basic theory of functional analysis used in kernel methods.
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| Slides | |
| 0:00 | Functional Analysis in Data Modelling |
| 2:53 | Overview |
| 4:02 | Spaces - 1 |
| 5:08 | Spaces - 2 |
| 8:20 | Spaces - 1 |
| 9:04 | - Questions |
| 10:55 | - Questions |
| 13:49 | - Questions |
| 17:50 | Linear spaces |
| 19:36 | - Questions |
| 25:56 | Basis |
| 26:43 | - Questions |
| 31:36 | Algebraic and geometric |
| 33:26 | - Questions |
| 42:01 | Hilbert spaces |
| 44:26 | Best approximation - 1 |
| 45:09 | Best approximation - 2 |
| 47:34 | - Questions |
| 49:53 | Reproducing kernel Hilbert spaces (RKHS) |
| 51:13 | RKHS |
| 52:32 | RKHS approximation |
| 52:42 | Best approximation - 3 |
| 52:49 | RKHS |
| 52:52 | - Questions |
| 60:04 | - Questions |
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