Incremental Learning of Variable Rate Concept Drift

  title={Incremental Learning of Variable Rate Concept Drift},
  author={Ryan Elwell and Robi Polikar},
We have recently introduced an incremental learning algorithm, Learn.NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Learn.NSE is an ensemble of classifiers approach, training a new classifier on each consecutive batch of data that become available, and combining them through an age-adjusted dynamic error based weighted majority voting. Prior work has shown the algorithm’s ability to track gradually changing environments as well as its… CONTINUE READING