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A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks
In this paper, we consider the problem of learning from multiple related tasks for improved generalization performance by extracting their shared structures. The alternating structure optimization (ASO) algorithm, which couples all tasks using a shared feature representation, has been successfully a...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3784327/ https://ncbi.nlm.nih.gov/pubmed/23520249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2012.189 |
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