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Alexander Gray

Document Type: Person
Tags: Auton Fast Classifiers, Statistical Data Mining for Astrophysics, K Nearest Neighbor, Astrostatistics, Cached Sufficient Statistics, Clustering, Memory-based Learning, Efficient Statistical Algorithms, Life Science Data Mining, Locally Weighted Learning, Kernel Density Estimation, Bayesian Networks, Kd-trees and Ball-trees, Mixture Models, Optimization

Alex's fascinations in early grade school were Legos, breaking ciphers, and drawing human anatomy. After studying Applied Math and Computer Science at Berkeley, he resisted a job offer to do Hollywood special effects and ended up working at NASA's Jet Propulsion Laboratory for six years developi...

Andrew Moore

Document Type: Person
Tags: Link Analysis, Auton Fast Classifiers, Statistical Data Mining for Astrophysics, Cached Sufficient Statistics, Efficient Statistical Algorithms, Spatial Statistics, Life Science Data Mining, Logistic Regression, Locally Weighted Learning, GDA, AD-trees, Bayesian Networks, Kernel Density Estimation, Kd-trees and Ball-trees, Mixture Models, WSARE, Reinforcement Learning, Active Learning, Markov Decision Processes, K Nearest Neighbor, Astrostatistics, Clustering, Memory-based Learning, Biosurveillance, Applications, Optimization, Association Rules

Andrew began his career writing video-games for an obscure British personal computer. He rapidly became a thousandaire and retired to academia, where he received a PhD from the University of Cambridge in 1991. He researched robot learning as a Post-doc working with Chris Atkeson, and then moved ...

Dense K Nearest Neighbor

Document Type: Software
Tags: Auton Fast Classifiers, K Nearest Neighbor, Life Science Data Mining

Paul Komarek Ting Liu Andrew Moore John Ostlund

Dense Logistic Regression

Document Type: Software
Tags: Auton Fast Classifiers, Life Science Data Mining, Logistic Regression

Paul Komarek Ting Liu Andrew Moore John Ostlund

Dense Naive Bayes Classifier

Document Type: Software
Tags: Auton Fast Classifiers, Life Science Data Mining

Paul Komarek Ting Liu Andrew Moore John Ostlund

Efficient Exact k-NN and Nonparametric Classification in High Dimensions

Document Type: Paper
Tags: Statistical Data Mining for Astrophysics, Auton Fast Classifiers, Efficient Statistical Algorithms, Kd-trees and Ball-trees

This paper is about non-approximate acceleration of high dimensional nonparametric operations such as $k$ nearest neighbor classifiers and the prediction phase of Support Vector Machine classifiers. We attempt to exploit the fact that even if we want exact answers to nonparametric queries, we us...

Framework for Evaluating Predictive Capability of Classifiers

Document Type: TechReport
Tags: Auton Fast Classifiers

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Paul Komarek

Document Type: Person
Tags: AD-trees, Link Analysis, Auton Fast Classifiers, Cached Sufficient Statistics, Astrostatistics, Efficient Statistical Algorithms, Kd-trees and Ball-trees, Optimization, Life Science Data Mining, Association Rules, Logistic Regression

I started life in Spokane, Washington. In 1997 I received a B.S. in mathematics at Western Washington University in Bellingham, the northern-most city in the continental US. Carnegie Mellon University awarded me a Master's in Algorithms, Combinatorics, and Optimization (ACO) in 1999. My ACO Ph.D...

Sparse K Nearest Neighbor

Document Type: Software
Tags: Auton Fast Classifiers, K Nearest Neighbor, Life Science Data Mining

Paul Komarek Ting Liu Andrew Moore John Ostlund

Sparse Logistic Regression

Document Type: Software
Tags: Auton Fast Classifiers, Life Science Data Mining, Logistic Regression

Paul Komarek Ting Liu Andrew Moore John Ostlund