Winnow (algorithm): Difference between revisions

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A typical value for {{mvar|&alpha;}} is 2.
 
There are many variations to this basic approach. ''Winnow2''<ref name="littlestone88"/> is similar except that in the demotion step the weights are divided by {{mvar|&alpha;}} instead of being set to 0. ''Balanced Winnow'' maintains two sets of weights, and thus two hyperplanes. This can then be generalized for [[multi-label classification]].
 
==Mistake bounds==