End-to-End Learning of Decision Trees and Forests
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01237-6
Abstract: Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data. However, they lack a key quality that has helped fuel the… read more here.
Keywords: decision; trees forests; end learning; decision trees ... See more keywords
Classification and regression trees and forests for incomplete data from sample surveys
Sign Up to like & getrecommendations! Published in 2018 at "Statistica Sinica"
DOI: 10.5705/ss.202017.0225
Abstract: Analysis of sample survey data often requires adjustments for missing values in the variables of interest. Standard adjustments based on item imputation or on propensity weighting factors rely on the availability of auxiliary variables for… read more here.
Keywords: classification regression; regression trees; trees forests; likelihood methods ... See more keywords