Boosting, Post-decessor
Boosting, Post-decessor
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This is incorrect, as weakest can do better than chance, then at least all weak learner will perform the boosting just fine.
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As Neural networks give back propagation and thus produces no error, then all the weight will not increase (will be just normal distribution) and keep doing that will produce overfitting.
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Train a whole lot of data will trains for a much longer time, and as boosting typically perform better and better, this is not the case.
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Non-linear problem doesn't have anything to do with overfitting.
