Results 11 to 20 of about 115,636 (253)
Mathematical optimization in classification and regression trees [PDF]
TOP, 2021 Abstract Classification and regression trees, as well as their variants, are off-the-shelf methods in Machine Learning. In this paper, we review recent contributions within the Continuous Optimization and the Mixed-Integer Linear Optimization paradigms to develop novel formulations in this research area.
Carrizosa, Emilio +2 more
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CORT: classification or regression trees [PDF]
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004 We challenge three of the underlying principles of CART, a well know approach to the construction of classification and regression trees (CART). Our primary concern is with the penalization strategy employed to prune back an initial, overgrown tree. We reason, based on both intuitive and theoretical arguments, that the pruning rule for classification ...
Clayton D. Scott +2 more
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Data-driven approach to machine condition prognosis using least square regression trees [PDF]
, 2007 Machine fault prognosis techniques have been considered profoundly in the recent time due to their profit for reducing unexpected faults or unscheduled maintenance.
Tran, Van Tung
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Classification and Regression Trees [PDF]
, 2000 We will call an estimator for the regression function defined by the CART methodology a regression tree. The word CART means classification and regression tree. This chapter will focus only on the regression trees.
Klemelä, Jussi +2 more
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Classification and Regression Tree Predictive Model for Acute Kidney Injury in Traumatic Brain Injury Patients. [PDF]
Ther Clin Risk ManagRuoran Wang,1,* Jing Zhang,1,* Min He,2 Jianguo Xu1 1Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 2Department of Critical Care Medicine, West China Hospital, Sichuan ...
Wang R, Zhang J, He M, Xu J.
europepmc +2 more sources
Data-driven approach to machine condition prognosis using least square regression trees [PDF]
, 2009 Machine fault prognosis techniques have been profoundly considered in the recent time due to their substantial profit for reducing unexpected faults or unscheduled maintenance.
Yang, Bo-Suk +3 more
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Classification and regression trees
International Journal of Public Health, 2011 Abstract Classification and regression trees are machine‐learning methods for constructing prediction models from data. The models are obtained by recursively partitioning the data space and fitting a simple prediction model within each partition.
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Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]
, 2014 Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Marcin Czajkowski +5 more
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Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]
, 2015 Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Otero, Fernando E.B. +5 more
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A Method to Build Classification and Regression Trees [PDF]
, 2014 An adaptable structure to build a classification tree is presented. From such structure different existing classification trees can be obtained, but also we can build new ones, and compare the results of different trees (classification error, tree size, number of levels or other defined criteria). We use the adaptable scheme to emulate ID3, C4.5 and M5
Emilio Unda-Trillas, Jorge Rivera-Rovelo
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