Learning from non-random data in Hilbert spaces: an optimal recovery perspective
The notion of generalization in classical Statistical Learning is often attached to the postulate that data points are independent and identically distributed (IID) random variables. While relevant in many applications, this postulate may not hold in general, encouraging the development of learning...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Birkhauser
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |