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ML
2002
ACM
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Machine Learning
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ML 2002
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On the Existence of Linear Weak Learners and Applications to Boosting
13 years 11 months ago
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www.ece.mcgill.ca
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
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