Please login first
Alexander G. Gray  - - - 
Top co-authors See all
Facundo M. Fernández

123 shared publications

School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia, USA

John F McDonald

85 shared publications

School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America

Charles Isbell

38 shared publications

Georgia Institute of Technology

Hua Ouyang

10 shared publications

Rajesh Narasimha

10 shared publications

Georgia Inst. of Technol., Atlanta

13
Publications
0
Reads
0
Downloads
45
Citations
Publication Record
Distribution of Articles published per year 
(2006 - 2013)
Total number of journals
published in
 
8
 
Publications See all
Article 0 Reads 6 Citations Sparse high-dimensional fractional-norm support vector machine via DC programming Wei Guan, Alexander Gray Published: 01 November 2013
Computational Statistics & Data Analysis, doi: 10.1016/j.csda.2013.01.020
DOI See at publisher website
PREPRINT 0 Reads 0 Citations Tree-Independent Dual-Tree Algorithms Ryan R. Curtin, William B. March, Parikshit Ram, David V. An... Published: 16 April 2013
ABS Show/hide abstract
Dual-tree algorithms are a widely used class of branch-and-bound algorithms. Unfortunately, developing dual-tree algorithms for use with different trees and problems is often complex and burdensome. We introduce a four-part logical split: the tree, the traversal, the point-to-point base case, and the pruning rule. We provide a meta-algorithm which allows development of dual-tree algorithms in a tree-independent manner and easy extension to entirely new types of trees. Representations are provided for five common algorithms; for k-nearest neighbor search, this leads to a novel, tighter pruning bound. The meta-algorithm also allows straightforward extensions to massively parallel settings.
PREPRINT 0 Reads 0 Citations Fast Nonparametric Conditional Density Estimation Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Published: 20 June 2012
ABS Show/hide abstract
Conditional density estimation generalizes regression by modeling a full density f(yjx) rather than only the expected value E(yjx). This is important for many tasks, including handling multi-modality and generating prediction intervals. Though fundamental and widely applicable, nonparametric conditional density estimators have received relatively little attention from statisticians and little or none from the machine learning community. None of that work has been applied to greater than bivariate data, presumably due to the computational difficulty of data-driven bandwidth selection. We describe the double kernel conditional density estimator and derive fast dual-tree-based algorithms for bandwidth selection using a maximum likelihood criterion. These techniques give speedups of up to 3.8 million in our experiments, and enable the first applications to previously intractable large multivariate datasets, including a redshift prediction problem from the Sloan Digital Sky Survey.
Article 0 Reads 1 Citation Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data Kichun Lee, Alexander Gray, Heeyoung Kim Published: 04 May 2012
Data Mining and Knowledge Discovery, doi: 10.1007/s10618-012-0267-9
DOI See at publisher website
Article 0 Reads 3 Citations Fast kernel conditional density estimation: A dual-tree Monte Carlo approach Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Published: 01 July 2010
Computational Statistics & Data Analysis, doi: 10.1016/j.csda.2010.01.011
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Learning Isometric Separation Maps Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson Published: 01 September 2009
2009 IEEE International Workshop on Machine Learning for Signal Processing, doi: 10.1109/mlsp.2009.5306212
DOI See at publisher website
Top