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Results tagged with boosting
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user 12036
A family of algorithms combining weakly predictive models into a strongly predictive model. The most common approach is called gradient boosting, and the most commonly used weak models are classification/regression trees.
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How do I do multiscale HMM classification?
And is the product of loglikelihoods a sensible thing to use, or would I be better off with some sort of boosting, for example?
Your advice would be much appreciated. …
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