Results 11 to 20 of about 79,652 (190)
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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Classification and Regression Trees.
Biometrics, 1984 The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers.
John Van Ryzin +4 more
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Mathematical optimization in classification and regression trees. [PDF]
Top (Berl), 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 E +2 more
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Classification and Regression Trees
, 2005 It is the goal of classification and regression to build a data-mining model that can be used for prediction. To construct such a model, we are given a set of training records, each having several attributes. These attributes either can be numerical (e.g., age or salary) or categorical (e.g., profession or gender).
Johannes Gehrke
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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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ISPRS International Journal of Geo-Information, 2020 The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal ...
Sanjiwana Arjasakusuma +4 more
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Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems [PDF]
, 2009 This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk +4 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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Animals, 2022 The diagnostics of two of the most prevalent lung diseases in dogs, bacterial pneumonia (BP) and lung neoplasm (LN), are challenging as their clinical signs are identical and may also occur in extrapulmonary diseases.
Andrzej Łobaczewski +9 more
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, 2015 Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes.
Kramer, Stefan +5 more
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