Normalized Online Learning

نویسندگان

  • Stéphane Ross
  • Paul Mineiro
  • John Langford
چکیده

We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolute scale. This has several useful effects: there is no need to prenormalize data, the test-time and test-space complexity are reduced, and the algorithms are more robust.

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عنوان ژورنال:
  • CoRR

دوره abs/1305.6646  شماره 

صفحات  -

تاریخ انتشار 2013