101 citations · 248 across the 5 of their papers we have counts for
5 papers
Unidentified aerial phenomena. Observations of variable objects
Boris Zhilyaev, David Tcheng, Vladimir Petukhov
NASA commissioned a research team to study Unidentified Aerial Phenomena (UAP). The Main Astronomical Observatory of NAS of Ukraine conducts an independent study of UAP. A research…
Genome wide identification of regulatory networks associated with general cognitive ability using a normalized alignment free similarity measure of promoter regions
Miriam Ruth Kantorovitz, David Tcheng, Michael I. Lerman +1
We show that a normalized alignment free similarity measure, called D2z, can be used to detect potential regulatory relations for gene sets when little is known about the regulator…
Robust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers +3
We apply machine learning in the form of a nearest neighbor instance-based algorithm (NN) to generate full photometric redshift probability density functions (PDFs) for objects in…
Robust Machine Learning Applied to Astronomical Datasets II: Quantifying Photometric Redshifts for Quasars Using Instance-Based Learning
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers +4
We apply instance-based machine learning in the form of a k-nearest neighbor algorithm to the task of estimating photometric redshifts for 55,746 objects spectroscopically classifi…
Robust Machine Learning Applied to Astronomical Datasets I: Star-Galaxy Classification of the SDSS DR3 Using Decision Trees
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers +1
We provide classifications for all 143 million non-repeat photometric objects in the Third Data Release of the Sloan Digital Sky Survey (SDSS) using decision trees trained on 477,0…