The generalization error of a forest of tree classifiers depends on the strength of the individual trees in the forest and the correlation between them.Expand

We use classification and regression trees to model the relationship between some outcome or response and a set of features or explanatory variables.Expand

There are two cultures in the use of statistical modeling to reach conclusions from data. One assumes that the data are generated bya given stochastic data model. The other uses algorithmic models… Expand

A new method, called the nonnegative (nn) garrote, is proposed for doing subset regression. It both shrinks and zeroes coefficients. In tests on real and simulated data, it produces lower prediction… Expand

In model selection, usually a best predictor is chosen from a collection {μ(.,s)} of predictors where μ(.,s) is the minimum least-squares predictor in a collection U s of predictors. Here s is a… Expand