DMSIG – On Diversity, Complexity, and Regularization in Ensemble Models

DMSIG – On Diversity, Complexity, and Regularization in Ensemble Models

LinkedIn, 2025 Stierlin Ct, Mountain View, CA 94043 · Monday, January 24, 2011 from 6:30 PM to 9:30 PM

  • Jeffrey Blake
  • Sameer Yami
  • Adam Glickman
Abstract:

The discovery of ensemble methods is one of the most influential developments in Data Mining and Machine Learning in the past decade. These methods combine multiple models into a single predictive system that is more accurate than even the best of its components. The use of ensemble methods can provide a critical boost to existing systems addressing the hardest of industrial challenges ... [read more]
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