BOOSTING
Boosting
Boosting is a machine learning meta-algorithm for reducing bias in supervised learning. Boosting is based on the question posed by Kearns: Can a set of weak learners create a single strong learner? A weak learner is defined to be a classifier which is only slightly correlated with the true classification . In contrast, a strong learner is a classifier that is arbitrarily well-correlated with the true classification.The above text is a snippet from Wikipedia: Boosting (machine learning)
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boosting
Verb
The above text is a snippet from Wiktionary: boosting
and as such is available under the Creative Commons Attribution/Share-Alike License.