Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework

Ana Stanescu, Gaurav Pandey

Heterogeneous ensembles that can aggregate an unrestricted number and variety of base predictors can effectively address challenging prediction problems. In particular, accurate en…