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Shrinking Trees
Shrinking Trees
2015/8/21
Tree-based models provide an alternative to linear models for classification and regression data. They are used primarily for exploratory analysis of complex data or as a diagnostic tool following a l...
Margin trees for high-dimensional classification
Maximum margin classifier supprt vector machine decision tree CART
2015/8/21
We propose a method for the classification of more than two classes, from high-dimensional features. Our approach is to build a binary decision tree in a top-down manner, using the optimal margin clas...
Regression Trees for Longitudinal and Multiresponse Data
CART,decision tree generalized estimating equation linear mixed effect smodel lowess missing values recursive partitioning selection bias
2012/11/22
Previous algorithms for constructing regression tree models for longitudinal and multiresponse data have mostly followed the CART approach. Consequently, they inherit the same selection biases and com...
On Complexity of Isoperimetric Problems on Trees
isoperimetric number Cheeger constant normalized cut graph partitioning
2010/12/15
This paper is aimed to investigate some computational aspects of different isoperi-metric problems on weighted trees. In this regard, we consider different connectivity pa-rameters called minimum norm...