classifier-confidence

There are 0 repository under classifier-confidence topic.

• ahhaque / ECHO

  ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no concept drift detected within this limit, ECHO updates the classifiers and resets the sliding window. Experiment results show that ECHO achieves significant speed up over SAND while maintaining similar accuracy. Please refer to the paper (mentioned in the reference section) for further details.

  datastreamclassificationsemi-superviseduncertainty-samplingdynamic-programmingclassifier-confidence
  Language:Java 11

• ahhaque / SAND

  SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

  datastreamclassificationsemi-superviseduncertainty-samplingclassifier-confidence
  Language:Java 11