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An Alternative Approach for the Prediction of Significant Wave Heights Based on Classification and Regression Trees

Applied Ocean Research, 2008
In this study, the performances of classification and regression trees for the prediction of significant wave heights were investigated. The data set used in this study is comprised of 5 years of wave and wind data gathered from a deep water location in ...
Amir Etemad-Shahidi
exaly   +2 more sources

Fifty Years of Classification and Regression Trees [PDF]

International Statistical Review, 2014
Abstract Fifty years have passed since the publication of the first regression tree algorithm. New techniques have added capabilities that far surpass those of the early methods. Modern classification trees can partition the data with linear splits on subsets of variables and fit nearest neighbor, kernel density, and other models in ...
Wei-Yin Loh
exaly   +3 more sources

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Classification and Regression Trees

2013
Classification and Regression Trees (CART) represents a data-driven, model-based, nonparametric estimation method that implements the define-your-own-model approach. In other words, CART is a method that provides mechanisms for building a custom-specific, nonparametric estimation model based solely on the analysis of measurement project data, called ...
Adam Trendowicz, Ross Jeffery
openaire   +1 more source

Classification and regression using augmented trees

International Journal of Data Science and Analytics, 2018
In this work, we present an algorithm for regression and classification tasks on big datasets using augmented tree models. Partitioning a big dataset using a tree model permits us to apply a divide and conquer strategy to classification and regression tasks.
Rajiv Sambasivan, Sourish Das
openaire   +2 more sources