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Decision trees / Regression analysis / Model selection / Linear regression / Random forest / Gibbs sampling / Decision tree learning / Cross-validation / Statistics / Machine learning / Econometrics


bartMachine: Machine Learning with Bayesian Additive Regression Trees Adam Kapelner Justin Bleich
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Document Date: 2014-09-05 16:15:52


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Company

Adam Kapelner / Intel / Missing Incorporated / Justin Bleich / /

Event

Natural Disaster / /

Facility

Model building We / University of Pennsylvania Abstract We / University of Pennsylvania The Wharton School / Building BART / /

IndustryTerm

greedy exhaustive search / online manual / car / real world applications / ready-to-use algorithm / computing / /

OperatingSystem

Windows 7 / /

Organization

Wharton School / Introduction Ensemble / the University of Pennsylvania / University of Pennsylvania Abstract We / /

Person

Justin Bleich / BART BART / Max Threshold / Adam Kapelner / /

Position

Bayesian model / /

Product

bartMachine / /

ProgrammingLanguage

Java / R / C++ / /

ProvinceOrState

South Dakota / Pennsylvania / /

PublishedMedium

Machine Learning / /

Technology

Virtual Machine / RAM / Java / pure algorithm / Machine Learning / operating system / ready-to-use algorithm / R. The algorithm / /

URL

http /

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