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On universal transfer learning

Mahmud, Hassan


In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have been used successfully in practice and PAC analysis of these methods have been developed. But the key notion of relatedness between tasks has not yet been defined clearly, which makes it difficult to understand, let alone answer, questions that naturally arise in the context of transfer, such as, how much information to...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
Source: Theoretical Computer Science
DOI: 10.1016/j.tcs.2009.01.013


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