We propose a domain adaptation framework, and formally prove that it generalizes the feature augmentation technique in (Daume Ⅲ, 2007) and the multi-task regularization framework in (Evgeniou and Pontil, 2004). We show that our framework is strictly more general than these approaches and allows practitioners to tune hyper-parameters to encourage transfer between close domains and avoid negative transfer between distant ones.
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机译:我们提出了一个领域适应框架,并正式证明它推广了(DaumeⅢ,2007)中的特征增强技术和(Evgeniou and Pontil,2004)中的多任务正则化框架。我们证明,我们的框架比这些方法严格地更通用,并且允许从业人员调整超参数,以鼓励在近距离域之间进行转移并避免在远距离域之间进行负转移。
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