Guan, Wei, Zhou, Manshui, Hampton, Christina Young, Benigno, Benedict B., Walker, L. DeEtte, Gray, Alexander G., ...
© 2009 Guan et al; licensee BioMed Central Ltd. This article is available from: http://www.biomedcentral.com/1471-2105/10/259
Eight-dimensional mid-infrared/optical Bayesian quasar selection (2009)
Richards, Gordon T., Deo, Rajesh P., Lacy, Mark, Myers, Adam D., Nichol, Robert C., Zakamska, Nadia L., ...
We explore the multidimensional, multiwavelength selection of quasars from mid-infrared (MIR) plus optical data, specifically from Spitzer-Infrared Array Camera (IRAC) and the Sloan Digital Sky...
Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where most probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Learning Isometric Separation Maps (2008)
Vasiloglou, Nikolaos, Gray, Alexander G., Anderson, David V.
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensions. In this paper we...
Eight-Dimensional Mid-Infrared/Optical Bayesian Quasar Selection (2008)
Richards, Gordon T., Deo, Rajesh P., Lacy, Mark, Myers, Adam D., Nichol, Robert C., Zakamska, Nadia L., ...
We explore the multidimensional, multiwavelength selection of quasars from mid-IR (MIR) plus optical data, specifically from Spitzer-IRAC and the Sloan Digital Sky Survey (SDSS). We apply modern...
Non-Negative Matrix Factorization, Convexity and Isometry (2008)
Vasiloglou, Nikolaos, Gray, Alexander G., Anderson, David V.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data analysis tools. We...
Richards, Gordon T., Myers, Adam D., Gray, Alexander G., Riegel, Ryan N., Nichol, Robert C., Brunner, Robert J., ...
We present a catalog of 1,172,157 quasar candidates selected from the photometric imaging data of the Sloan Digital Sky Survey (SDSS). The objects are all point sources to a limiting magnitude of...
Fast nonparametric conditional density estimation (2008)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell
Conditional density estimation. The idea of conditional density estimation is to construct a density estimate ˆ f(y|x) for a dependent variable y, conditional on a vector of variables x. This can be...
Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where most probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
SNARE: Spatio-temporal Network-level Automatic Reputation Engine (2008)
Feamster, Nick, Gray, Alexander G., Krasser, Sven, Syed, Nadeem Ahmed
Current spam filtering techniques classify email based on content and IP reputation blacklists or whitelists. Unfortunately, spammers can alter spam content to evade content based filters, and...
Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
iN-Body ' Problems in Statistical Learning (2007)
Alexander G. Gray, Andrew W. Moore
awm cs. cmu. edu We present efficient algorithms for all-point-pairs problems, or 'Nbody '-like problems, which are ubiquitous in statistical learning. We focus on six examples, including...
Tradenet: A Collaborative Stock Trading System (2007)
Malik, Ali Hisham, Gray, Alexander G.
Development of semi- and fully- automated trading systems is becoming increasingly popular in the financial market. Our aim is to develop a scalable lightweight distributed trading system that is...
A high redshift detection of the integrated Sachs-Wolfe effect (2006)
Giannantonio, Tommaso, Crittenden, Robert G., Nichol, Robert C., Scranton, Ryan, Richards, Gordon T., Myers, Adam D., ...
We present evidence of a large angle correlation between the cosmic microwave background measured by WMAP and a catalog of photometrically detected quasars from the SDSS. The observed cross...
First Measurement of the Clustering Evolution of Photometrically-Classified Quasars (2005)
Myers, Adam D., Brunner, Robert J., Richards, Gordon T., Nichol, Robert C., Schneider, Donald P., Berk, Daniel E. Vanden, ...
We present new measurements of the quasar autocorrelation from a sample of \~80,000 photometrically-classified quasars taken from SDSS DR1. We find a best-fit model of $\omega(\theta) =...
Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: 100,000 z (2004)
Richards, Gordon T., Nichol, Robert C., Gray, Alexander G., Brunner, Robert J., Lupton, Robert H., Berk, Daniel E. Vanden, ...
We present a catalog of 100,563 unresolved, UV-excess (UVX) quasar candidates to g=21 from 2099 deg^2 of the Sloan Digital Sky Survey (SDSS) Data Release One (DR1) imaging data. Existing spectra of...
Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy (2004)
Gray, Alexander G., Moore, Andrew W., Nichol, Robert C., Connolly, Andrew J., Genovese, Christopher, Wasserman, Larry
Many fundamental statistical methods have become critical tools for scientific data analysis yet do not scale tractably to modern large datasets. This paper will describe very recent algorithms based...
Galaxy ecology : groups and low-density environments in the SDSS and 2dFGRS (2004)
Balogh, Michael L., Eke, Vince, Miller, Christopher J., Lewis, Ian, Bower, Richard G., Couch, Warrick J., ...
We analyse the observed correlation between galaxy environment and Hα emission-line strength, using volume-limited samples and group catalogues of 24 968 galaxies at 0.05 < z < 0.095,...
Galaxy ecology: groups and low-density environments in the SDSS and 2dFGRS (2004)
Balogh, Michael L., Eke, Vince, Miller, Christopher J., Lewis, Ian, Bower, Richard G., Couch, Warrick J., ...
We analyse the observed correlation between galaxy environment and Hα emission-line strength, using volume-limited samples and group catalogues of 24 968 galaxies at 0.05 < z < 0.095, drawn from the...
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond (2003)
Gray, Alexander G., Fischer, Bernd, Schumann, Johann, Buntine, Wray
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond (2003)
Gray, Alexander G., Fischer, Bernd, Schumann, Johann, Buntine, Wray
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond (2003)
Gray, Alexander G., Fischer, Bernd, Schumann, Johann, Buntine, Wray
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Nonparametric density estimation: toward computational tractability (2003)
Density estimation is a core operation of virtually all probabilistic learning methods (as opposed to discriminative methods). Approaches to density estimation can be divided into two principal...
Rapid evaluation of multiple density models (2003)
Alexander G. Gray, Andrew W. Moore
When highly-accurate and/or assumptionfree density estimation is needed, nonparametric methods are often called upon- most notably the popular kernel density estimation (KDE) method. However, the...
Automatic Derivation of the Multinomial PCA Algorithm (2003)
Wray Buntine, Bernd Fischer, Alexander G. Gray
Machine learning has reached a point where probabilistic methods can be understood as variations, extensions, and combinations of a small set of abstract themes, e.g., as di#erent instances of the EM...
Automatic derivation of statistical algorithms: The EM family and beyond (2002)
Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Automatic derivation of statistical algorithms: The EM family and beyond (2002)
Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
Automatic Derivation of Statistical Algorithms: (2002)
The Em Family, Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray Buntine
Machine learning has reached a point where most probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different...
N-body problems in statistical learning (2000)
Alexander G. Gray, Andrew W. Moore
We present efficient algorithms for all-point-pairs problems, or 'N-body'-like problems, which are ubiquitous in statistical learning. We focus on six examples, including nearest-neighbor...
N-body problems in statistical learning (2000)
Alexander G. Gray, Andrew W. Moore
We present very fast algorithms for a large class of statistical problems, which we call all-point-pairs problems, or 'N-body'-like problems. These are problems which abstractly require a...
Richards, Gordon T., Nichol, Robert C., Gray, Alexander G., Brunner, Robert J., Lupton, Robert H.
We present a catalog of 100,563 unresolved, UV-excess (UVX) quasar candidates to g = 21 from 2099 deg squared of the Sloan Digital Sky Survey (SDSS) Data Release One (DR1) imaging data. Existing...