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David Mease
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2010 – 2019
- 2017
- [j6]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: 48:1-48:33 (2017) - 2015
- [i1]Abraham J. Wyner, Matthew Olson, Justin Bleich, David Mease:
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers. CoRR abs/1504.07676 (2015) - 2013
- [c4]Alexandra Chouldechova, David Mease:
Differences in search engine evaluations between query owners and non-owners. WSDM 2013: 103-112 - 2011
- [c3]Li Ma
, David Mease, Daniel M. Russell:
A Four Group Cross-Over Design for Measuring Irreversible Treatments on Web Search Tasks. HICSS 2011: 1-9 - [c2]Neema Moraveji, Daniel M. Russell, Jacob Bien, David Mease:
Measuring improvement in user search performance resulting from optimal search tips. SIGIR 2011: 355-364
2000 – 2009
- 2009
- [c1]Ya Xu, David Mease:
Evaluating web search using task completion time. SIGIR 2009: 676-677 - 2008
- [j5]David Mease, Abraham J. Wyner:
Evidence Contrary to the Statistical View of Boosting. J. Mach. Learn. Res. 9: 131-156 (2008) - 2007
- [j4]David Mease, Abraham J. Wyner, Andreas Buja:
Boosted Classification Trees and Class Probability/Quantile Estimation. J. Mach. Learn. Res. 8: 409-439 (2007) - 2006
- [j3]David Mease, Vijayan N. Nair:
Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration. Technometrics 48(3): 399-410 (2006) - [j2]David Mease, Derek Bingham:
Latin Hyperrectangle Sampling for Computer Experiments. Technometrics 48(4): 467-477 (2006) - 2004
- [j1]David Mease, Vijayan N. Nair, Agus Sudjianto:
Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies. Technometrics 46(2): 165-175 (2004)
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