Support-Vector Networks / National Academies Press / /
Currency
USD / /
IndustryTerm
cosmic web / energy density / e-print / astronomical tools / dark energy / bank / dark energy parameters / learning algorithm / /
Organization
Dark Energy Task Force / National Aeronautics and Space Administration / NRC Committee on the Physics of the Universe / School of Engineering / DoE / National Science Foundation / School of Arts / Joshua E.G. Peek Department of Astronomy / Shree K. Nayar Department of Computer Science / /
Person
Shree K. Nayar / /
ProvinceOrState
S. K. / Delaware / /
PublishedMedium
Machine Learning / IEEE Transactions on Information Theory / /
Learning the Nature of Dark Energy from Weak Gravitational Lensing with Computer Vision and Machine Learning Zolt´an Haiman, Joshua E.G. Peek Department of Astronomy, School of Arts and Sciences Daniel Hsu, Shree K. Nay