Concepedia

David Mease

DM

12

Publications

978

Citations

11

H-Index

2003

Active since

Affiliations

Stanford University(Current)

Google (United States)

University of Pennsylvania

San Jose State University

University of Michigan

David Mease is an author at Stanford University specializing in engineering, statistics, and computer science.

Top concepts

EngineeringStatisticsData ScienceComputer ScienceKnowledge DiscoveryStatistical InferenceData MiningMachine LearningSupervised LearningPredictive Analytics

Publications per year

2003–2017

12

Publications

12

Boosted Classification Trees and Class Probability/Quantile Estimation

David Mease, Abraham J. Wyner, Andreas Buja · Journal of Machine Learning Research · 2007 · 245 citations

Classification Method, Classification Trees, Engineering +15

Explaining the success of adaboost and random forests as interpolating classifiers

Abraham J. Wyner, Matthew Olson, Justin Bleich et al. · Journal of Machine Learning Research · 2017 · 222 citations

Artificial Intelligence, Engineering, Machine Learning +20

Evidence Contrary to the Statistical View of Boosting

David Mease, Abraham J. Wyner · ScholarlyCommons (University of Pennsylvania) · 2008 · 143 citations · Full text

Statistical View, Engineering, Machine Learning +13

Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies

David Mease, Vijayan N. Nair, Agus Sudjianto · Technometrics · 2004 · 100 citations

Engineering, Industrial Engineering, Computer-aided Design +19

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

David Mease · The American Statistician · 2003 · 62 citations

Ranking Algorithm, Engineering, Data Science +7

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