David Mease

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Cost-Weighted Boosting with Jittering and Over / Under-Sampling : JOUS-Boost

David Mease, 2004 .

Evidence Contrary to the Statistical View of Boosting

David Mease, Abraham J. Wyner, A. Wyner, 2008, J. Mach. Learn. Res..

Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting

David Mease, Andreas Buja, Abraham J. Wyner, 2007, 0804.2757.

Boosted Classification Trees and Class Probability/Quantile Estimation

David Mease, Andreas Buja, Abraham J. Wyner, 2007, J. Mach. Learn. Res..

Reliability Testing and Estimation Using Variance-Reduction Techniques

Vijayan N. Nair, David Mease, Agus Sudjianto, 2004 .

Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers pdf

David Mease, Abraham J. Wyner, Matthew Olson, 2015, J. Mach. Learn. Res..

A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins

David Mease, David Mease, 2003 .

Latin Hyperrectangle Sampling for Computer Experiments

David Mease, Derek Bingham, D. Bingham, 2006, Technometrics.

Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration

Vijayan N. Nair, David Mease, V. Nair, 2006, Technometrics.

Unique Optimal Partitions of Distributions and Connections to Hazard Rates and Stochastic Ordering

Vijayan N. Nair, David Mease, V. Nair, 2006 .

Variance Reduction Techniques for Reliability Estimation Using CAE Models

David Mease, Vijay Nair, V. Nair, 2003 .

Evidence Contrary to the Statistical View of Boosting

A. Wyner, David Mease, 2008, J. Mach. Learn. Res..

Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers

J. Bleich, A. Wyner, David Mease, 2015, J. Mach. Learn. Res..

Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies

Vijayan N. Nair, David Mease, Agus Sudjianto, 2004, Technometrics.