New approaches for heterogeneous transfer learning
In many real-world problems, it is often time-consuming and expensive to collect labeled data. To alleviate this challenge, transfer learning (TL) techniques that adapt a model from a related task with ample labeled data to a task of interest with little or no additional human supervision have been...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Online Access: | https://hdl.handle.net/10356/65532 |
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Institution: | Nanyang Technological University |
Language: | English |
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