The optimal crowd learning machine
Abstract Background Any family of learning machines can be combined into a single learning machine using various methods with myriad degrees of usefulness. Results For making predictions on an outcome, it is provably at least as good as the best machine in the family, given sufficient data. And if o...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-05-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13040-017-0135-7 |