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NIPS 2007 Report: Filter Boost

Author:movellan @ December 5th, 2007 3 Comments

  • Filter Boost is a boosting approach designed to learn from a large population of examples, more than you can handle in memory. It combines a filter than selects samples from the population and a boosting-like algorithm. nips2007_0060.pdf