Transfering Nonlinear Representations using Gaussian Processes with a Shared Latent Space
When a series of problems are related, representations derived fromlearning earlier tasks may be useful in solving later problems. Inthis paper we propose a novel approach to transfer learning withlow-dimensional, non-linear latent spaces. We show how suchrepresentations can be jointly learned acros...
| Main Authors: | , , |
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2007
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/39426 |