How classifieres can be use to solve any reasonable loss
author:
John Langford,
Yahoo! Research
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| Slides | |
| 0:02 | How Classifiers can be ... |
| 0:27 | A Machine Learning Dream |
| 3:14 | Two Versions of the Dream |
| 4:57 | Basic Question |
| 6:14 | The Reductionist Style for ... |
| 8:27 | Defining the Learning Problem |
| 15:36 | Step (1) Class Probability Estimation |
| 17:00 | Step (2) The Probing Method: Observations |
| 21:47 | The Probing Algorithm |
| 23:27 | Step (2) The Probing Method: Detailes |
| 27:23 | Step (3) The one classifier trick |
| 32:11 | Step (3) Probing Theory |
| 51:44 | What Are Learning Reductions? |
| 52:39 | Disadvantages of Learning Reductions |
| 54:09 | Error Limiting Reductions |
| 57:13 | Uses of Error Limiting Reductions |
| 57:17 | Regret Transform Reductions |
| 58:13 | Uses of Regret Transform Reductions |
| 58:18 | Big Questions |
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