Many real-world problems involve learning predictive models for rare classes in situations where there are no gold standard labels for training samples but imperfect labels are available for all instances. We present RAre class Prediction in absence of True labels (RAPT), a three step predictive modeling framework for classifying rare class in s...
Creator:
Kumar, Vipin (University of Minnesota, Twin Cities)
Created:
2016-09-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.