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On Structured Output Training: Hard Cases and Efficient Alternatives| old_uid | 8016 |
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| title | On Structured Output Training: Hard Cases and Efficient Alternatives |
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| start_date | 2010/01/25 |
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| schedule | 10h30 |
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| online | no |
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| location_info | salle 549 |
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| summary | State-of-the art structured-output learning algorithms have been applied in many important real world applications. However, there are also many structured-output problems in which these algorithms cannot be applied efficiently. In this talk I will give a simple example of such a problem, show why training the state-of-the-art algorithms on this problem is not feasible, and propose alternative algorithms. I will show that these algorithms can be trained efficiently under assumptions orthogonal to those made by the state-of-the-art. |
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| responsibles | Bouchon-Meunier, Diaz, Gallinari |
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