Data mining - Wikipedia
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics
We model the extremely massive and luminous lens galaxy in the Cosmic Horseshoe Einstein ring system, recently discovered in the Sloan Digital Sky Survey. We use the semi-linear method of Warren & Dye (2003), which pixelises the source surface brig...
Non-electromagnetic emissions from high energy particles in extreme environments has been studied in the literature by using several variations of the semi-classical formalism. The detailed mechanisms behind such emissions are of great astrophysical...
2 days ago · Microsoft (MSFT) spent $29.88B on capex in Q2 for AI infrastructure. Microsoft increased spending 89% year-over-year. Microsoft’s free cash flow dropped 9.3% to $5.88B as massive capex …
It's been a while since our last Subreddit Giveaway, but we're back with a big one! On behalf of three generous donors, we have OVER 570 GAMES to giveaway! The majority are from one donor, whom we tha...
2 days ago · Microsoft (MSFT) spent $29.88B on capex in Q2 for AI infrastructure. Microsoft increased spending 89% year-over-year. Microsoft’s free cash flow dropped 9.3% to $5.88B as massive capex …
players the older league had badly misjudged. Soon the NFL and AFL found themselves locked in a massive bidding war for the top free agents and prospects coming
We compare the semi-analytic models of galaxy formation of Fu et al. (2010), which track the evolution of the radial profiles of atomic and molecular gas in galaxies, with gas fraction scaling relations derived from the COLD GASS survey (Saintonge et...
The GALEX Arecibo SDSS Survey (GASS) is a large targeted survey that started at Arecibo in March 2008. GASS is designed to measure the neutral hydrogen content of ~1000 massive galaxies (with stellar mass Mstar > 10^10 Msun) at redshift 0.025<z<0.0...
We are witnessing a massive adoption of software engineering bots, applications that react to events triggered by tools and messages posted by users and run automated tasks in response, in a variety of domains. This thematic issues describes experien...
Today, a large fraction of Internet traffic is originated by Content Providers (CPs) such as content distribution networks and hyper-giants. To cope with the increasing demand for content, CPs deploy massively distributed infrastructures. This poses...
The B0.2 V magnetic star tau Sco stands out from the larger population of massive magnetic OB stars due to its high X-ray activity and remarkable wind, apparently related to its peculiar magnetic field - a field which is far more complex than the mos...
The B0.2 V magnetic star tau Sco stands out from the larger population of massive OB stars due to its high X-ray activity, peculiar wind diagnostics and complex magnetic field. Recently, Petit et al. 2011 presented the discovery of the first two tau...
...
The NASA satellite Kepler has gathered about 1420 days-long photometric time series for more than 20000 red giant stars. For about 6600 of them also APOGEE spectroscopic parameters are available, making the sample of high interest for various astroph...
We present an HST/ACS weak gravitational lensing analysis of 13 massive high-redshift (z_median=0.88) galaxy clusters discovered in the South Pole Telescope (SPT) Sunyaev-Zel'dovich Survey. This study is part of a larger campaign that aims to robustl...
36 minutes ago · As diplomatic negotiations between the United States and Ukraine resumed in Geneva aimed at ending the war now entering its fifth year, Russia carried out one of its most …
Within the framework of investigating the link between central super massive black holes in the core of galaxies and the galaxies themselves, we detected a variable X-ray source in the center of CGCG 077-102 NED02, member of the CGCG 077-102 galaxy p...
Full disclosure, Ive posted a couple times in some of the threads since I participate routinely in /r/DotA2 (over 101k comment karma :/ from the dota2 subreddit) Ill try to keep the thread updated and...
Deep learning has revolutionized extreme classification (XC) by enabling the modeling of complex, nonlinear interactions between instances and labels in massive label spaces, often numbering in the ...