Tree Structured Tree Structured Interpretable Regression David Lubinsky Department of Computer...  Home/Search
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Abstract: We describe a new method of tree-based regression. The response is estimated by building an adaptive linear model which varies for different paths through the tree. The method has the following potential advantages over traditional methods: the method can naturally be applied to very large datasets in which only a small proportion of the predictors are useful, the resulting regression rules are more easily interpreted and applied, and may be more accurate in application, since the rules are... (Update)
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BibTeX entry: (Update)
@misc{ structured-unknown,
author = "Tree Structured",
title = "Unknown",
url = "citeseer.ist.psu.edu/86601.html" }
Citations (may not include all citations):2133 Pattern classification and scene analysis (context) - Duda, Hart - 1973
1262 Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
102 Computer Systems that Learn: Classification and Prediction M.. (context) - Weiss, Kulikowski - 1990
21 Maximizing the predictive value of production rules (context) - Weiss, Galen et al. - 1990 ACM DBLP
1 Statistical Methods of Discrimination and Classification (context) - Choi - 1986
1 The boston house-price data (context) - Harrison, Rubinfeld - 1988
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