Learning and making decisions when costs and probabilities are both unknown

This publication has 7 references indexed in Scilit:

• Robust Classification for Imprecise Environments
  Machine Learning, 2001
• Assessing the performance of direct marketing scoring models
  Journal of Interactive Marketing, 2001
• MetaCost
  Published by Association for Computing Machinery (ACM) ,1999
• An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
  Machine Learning, 1999
• A comparative analysis of methods for pruning decision trees
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1997
• Bagging Predictors
  Machine Learning, 1996
• Sample Selection Bias as a Specification Error
  Econometrica, 1979