Journal of Machine Learning Research · 2012 · 577 citations · 0 references
ComputingComputer ScienceData ScienceData MiningMachine LearningStatistical LearningDecision TreesDimensionality ReductionEnsemble LearningEnsemble MethodsFeature SelectionEnsemble ClassificationEnsemble Learning TheoryRandom ForestsSparse Feature Selection
Random forests are a scheme proposed by Leo Breiman in the 2000's for building a predictor ensemble with a set of decision trees that grow in randomly selected subspaces of data. Despite growing in...