Increasing diversity in random forest learning algorithm via imprecise probabilities

This publication has 38 references indexed in Scilit:

• Bagging schemes on the presence of class noise in classification
  Expert Systems with Applications, 2012
• An ensemble method using credal decision trees
  European Journal of Operational Research, 2010
• KEEL: a software tool to assess evolutionary algorithms for data mining problems
  Soft Computing, 2008
• Uncertainty measures on probability intervals from the imprecise Dirichlet model
  International Journal of General Systems, 2006
• Disaggregated total uncertainty measure for credal sets
  International Journal of General Systems, 2006
• Upper entropy of credal sets. Applications to credal classification
  International Journal of Approximate Reasoning, 2005
• Diversity creation methods: a survey and categorisation
  Information Fusion, 2005
• Diversity in search strategies for ensemble feature selection
  Information Fusion, 2005
• Building classification trees using the total uncertainty criterion
  International Journal of Intelligent Systems, 2003
• A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
  The Annals of Mathematical Statistics, 1940