Strong Learner
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See: Weak Learner, Boosting Algorithm.
References
2009
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Boosting
- Boosting is a Machine Learning meta-algorithm for performing 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.