David Mease

Publication Activity (10 Years)

Years Active: 2004-2017
Publications (10 Years): 1

Top Topics

Adaboost Algorithm

Classifier Ensemble

Top Venues

J. Mach. Learn. Res.

Publications

Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. J. Mach. Learn. Res. 18 (2017)
Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. CoRR (2015)
Alexandra Chouldechova, David Mease
Differences in search engine evaluations between query owners and non-owners. WSDM (2013)
Neema Moraveji, Daniel M. Russell, Jacob Bien, David Mease
Measuring improvement in user search performance resulting from optimal search tips. SIGIR (2011)
Li Ma, David Mease, Daniel M. Russell
A Four Group Cross-Over Design for Measuring Irreversible Treatments on Web Search Tasks. HICSS (2011)
Ya Xu, David Mease
Evaluating web search using task completion time. SIGIR (2009)
David Mease, Abraham J. Wyner
Evidence Contrary to the Statistical View of Boosting. J. Mach. Learn. Res. 9 (2008)
David Mease, Abraham J. Wyner, Andreas Buja
Boosted Classification Trees and Class Probability/Quantile Estimation. J. Mach. Learn. Res. 8 (2007)
David Mease, Derek Bingham
Latin Hyperrectangle Sampling for Computer Experiments. Technometrics 48 (4) (2006)
David Mease, Vijayan N. Nair
Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration. Technometrics 48 (3) (2006)
David Mease, Vijayan N. Nair, Agus Sudjianto
Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies. Technometrics 46 (2) (2004)