Boosting foundations and algorithms
Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, conv...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge, MA.
MIT Press
2014
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| Series: | Adaptive computation and machine learning
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| Subjects: | |
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Perpustakaan Jeneral Tun Ibrahim
| Copy | On Shelf |
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