Randomized weighted majority algorithm - Wikipedia
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Randomized weighted majority algorithm - Wikipedia Jump to content From Wikipedia, the free encyclopedia The randomized weighted majority algorithm is an algorithm in machine learning theory for aggregating expert predictions to a series of decision problems. [ 1 ] It is a simple and effective method based on weighted voting which improves on the mistake bound of the deterministic weighted majority algorithm . In fact, in the limit, its prediction rate can be arbitrarily close to that of the best-predicting expert. Example [ edit ] Imagine that every morning before the stock market opens, we g
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