Inductive transfer via embeddings into a common feature space

author: Shai Ben-David, David R. Cheriton School of Computer Science, University of Waterloo
published: Feb. 25, 2007,   recorded: July 2006,   views: 3351


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We consider the situation in which there is a basic learning task but different sub-tasks define different data generating distributions. Examples include learning to identify spam for various different email users, or parts-of-speech tagging for different text corpora. Our goal is to allow the use of training data coming from one sub-task for prediction under another sub-task distribution.

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