Learning with Partially Labeled and Interdependent Data
Consider the supervised learning task, where the prediction function, which infers a predicted output for a given input, is learned over a finite set of labeled training examples, where each instance of this set is a pair constituted of a vector characterizing an observation in a given vector spac...
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| Auteurs principaux: | , |
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| Format: | Livre |
| Langue: | English |
| Publié: |
Springer
2015
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| Sujets: | |
| Accès en ligne: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56140 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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