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Dual Decomposed Learning with Factorwise Oracles for Structural SVMs of Large Output Domain
Many applications of machine learning involve structured outputs with large domains, where learning of a structured predictor is prohibitive due to repetitive calls to an expensive inference oracle. In this work, we show that by decomposing training of a Structural Support Vector Machine (SVM) into...
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| Publicado no: | Adv Neural Inf Process Syst |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5898830/ https://ncbi.nlm.nih.gov/pubmed/29657512 |
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