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Decision trees / Econometrics / Statistical models / Ensemble learning / Gradient boosting / Backfitting algorithm / Normal distribution / Decision tree learning / Errors and residuals in statistics / Statistics / Regression analysis / Machine learning


Document Date: 2008-09-21 11:42:44

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City

Philadelphia / Boston / /

Company

Monte Carlo / Microsoft / /

Country

Canada / /

Facility

Business University of Chicago Chicago / Purdue University / University of Chicago Graduate School / Columbia University / Statistics The Wharton School University of Pennsylvania Philadelphia / University of Chicago / /

IndustryTerm

model search / neural networks / Web Mining / on-line learning / /

Movie

Reversal of fortune / /

NaturalFeature

Random Forests / Random Forest / /

Organization

the University of Chicago Graduate School / Columbia University / Graduate School / National Institute of Health / Bayesian Ensemble / National Science Foundation / American Statistical Association / University of Chicago / University of Pennsylvania / Wharton School University / national hockey league / Bayesian Ensemble Learning Hugh A. Chipman Department of Mathematics and Statistics Acadia University Wolfville / Canada Edward I. George Department / Business University of Chicago Chicago / Natural Sciences and Engineering Research Council of Canada / Purdue University / Acadia Centre for Mathematical Modelling and Computation / /

Person

Wei-Yin Loh / Edward I. George / Hugh A. Chipman / /

ProvinceOrState

Pennsylvania / Illinois / /

PublishedMedium

Machine Learning / Journal of the American Statistical Association / /

Technology

Metropolis-Hastings algorithm / backfitting algorithm / Data Mining / Machine Learning / simulation / /

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