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Physical cosmology / Dark matter / Mean squared error / Galaxy formation and evolution / Galaxy / Support vector machine / Virgo Consortium / Cosmic distance ladder / K-nearest neighbor algorithm / Physics / Statistics / Astronomy


The Astrophysical Journal, 772:147 (10pp), 2013 August 1  C[removed]doi:[removed]637X[removed]
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Document Date: 2014-09-10 11:46:39

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City

Pittsburgh / Cambridge / /

Company

MIT Press / ACM Press / Neutral Information Processing Systems / /

Country

Jordan / United States / /

Facility

German Astrophysical Virtual Observatory / Carnegie Mellon University / Python library / /

IndustryTerm

non-parametric regression algorithms / model-independent algorithms / gas accretion / online journal / similar search technique / web application / feature selection algorithm / dot product / forward feature selection algorithm / online database / kNN algorithm / crude applications / dark energy equation / regression algorithm / non-parametric algorithms / then imagine generalizing this dot product / /

Organization

School of Computer Science / McWilliams Center for Cosmology Postdoctoral Fellowship / American Physical Society / National Science Foundation / MIT / Carnegie Mellon University / McWilliams Center for Cosmology / American Astronomical Society / Department of Physics / /

Person

Daniel Eisenstein / Weinberg / Martin White / Springel / V / /

Position

D. J. / known model for the halo–galaxy relationship / Forward / /

ProgrammingLanguage

Python / ML / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

The Astrophysical Journal / /

Technology

ML algorithms / forward feature selection algorithm / non-parametric algorithms / non-parametric regression algorithms / regression algorithm / feature selection algorithm / MACHINE LEARNING / simulation / kNN algorithm / SVR algorithm / Nearest Neighbors The kNN algorithm / two algorithms / /

URL

http /

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