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Classification and regression trees

Type: Journal Paper

Author : Wei-Yin Loh

Year: 2011

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Improved Estimators for Ratios of Variance Components

Type: Journal Paper

Author : Wei-Yin Loh

Year: 1986

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Classification Trees With Bivariate Linear Discriminant Node Models

Type: Journal Paper

Author : Hyunjoong Kim; Wei-Yin Loh

Year: 2003

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A regression tree approach to identifying subgroups with differential treatment effects

Type: Journal Paper

Author : Wei-Yin Loh; Xu He; Michael Man

Year: 2015

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Classification and Regression Tree Methods

Type: Journal Paper

Author : Loh, Wei-Yin, and Wei-Yin Loh.

Publisher: John Wiley & Sons, Ltd

Year: 2008

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Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems

Type: Journal Paper

Author : Mounir El Asmar; Awad S. Hanna; Wei-Yin Loh

Year: 2013

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A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms

Type: Journal Paper

Author : Tjen-Sien Lim; Wei-Yin Loh; Yu-Shan Shih

Year: 2000

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Search

Classification and regression trees

Improved Estimators for Ratios of Variance Components

Classification Trees With Bivariate Linear Discriminant Node Models

A regression tree approach to identifying subgroups with differential treatment effects

Classification and Regression Tree Methods

Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems

A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms

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Classification and regression trees

Improved Estimators for Ratios of Variance Components

Classification Trees With Bivariate Linear Discriminant Node Models

A regression tree approach to identifying subgroups with differential treatment effects

Classification and Regression Tree Methods

Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems

A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms