Beyond axis-alignment: Realizing the power of Bayesian Additive Regression Trees in General Spaces
Salon S-105, Departamento de Matematicas, Facultad de CienciasSeminario de Probabilidad y Procesos Estocásticos Resumen Default implementations of Bayesian Additive Regression Trees (BART) represent categorical predictors using several binary indicators, one for each level of each categorical predictor. Regression trees built with these indicators partition the levels using a “remove one a time strategy.” Unfortunately, an overwhelming majority of partitions of the […]