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Multi-task Vector Field Learning

Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously and identifying the shared information among tasks. Most of existing MTL methods focus on learning linear models under the supervised setting. We propose a novel semi-supervised and...

詳細記述

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書誌詳細
主要な著者: Lin, Binbin, Yang, Sen, Zhang, Chiyuan, Ye, Jieping, He, Xiaofei
フォーマット: Artigo
言語:Inglês
出版事項: 2012
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4201856/
https://ncbi.nlm.nih.gov/pubmed/25332642
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