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Acquisition of Dynamic Control Knowledge for a Robotic Manipulator

Document Type: Paper
Tags: Kd-trees and Ball-trees, Memory-based Learning, Active Learning

To make efficient use of a dynamic system such as a mechanical manipulator, the robotic controller needs various models of its behaviour. I describe a method of learning in which all the experiences in the lifetime of the robot are explicitly remembered. They are stored in a manner which permits...

Active Learning for Anomaly and Rare-Category Detection

Document Type: Paper
Tags: Statistical Data Mining for Astrophysics, Mixture Models, Active Learning

We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify {em useful} anomalies. These are distinguished from the traditional statistical definition of anomalies as outliers or merely ill-modeled points. Our distinction is that the usefulne...

Active Learning For Identifying Function Threshold Boundaries

Document Type: Paper
Tags: Active Learning, Astrostatistics, Gaussian Processes, Statistical Data Mining for Astrophysics, Applications

We present an efficient algorithm to actively select queries for learning the boundaries separating a function domain into regions where the function is above and below a given threshold. We develop experiment selection methods based on entropy, misclassification rate, variance, and their com...

Active Learning in Discrete Input Spaces

Document Type: Paper
Tags: AD-trees, Cached Sufficient Statistics, Efficient Statistical Algorithms, Optimization, Association Rules, Active Learning

Traditional design of experiments (DOE) from the statistics literature focuses on optimizing an output parameter over a space of continuous input parameters. Here we consider DOE, or active learning, for descrete input spaces. A trivial example of this is the k-armed bandit problem, which is the...

Alias Detection in Link Data Sets

Document Type: Paper
Tags: Link Analysis, Applications, Active Learning

The problem of detecting aliases - multiple text string identifiers corresponding to the same entity - is increasingly important in the domains of biology, intelligence, marketing, and geoinformatics. This report investigates the extent to which probabilistic methods can help. Aliases arise from...

Alias Detection in Link Data Sets

Document Type: Paper
Tags: Link Analysis, Applications, Active Learning

The problem of detecting aliases - multiple text string identifiers corresponding to the same entity - is increasingly important in the domains of biology, intelligence, marketing, and geoinformatics. Aliases arise from entities who are trying to hide their identities, from a person with multipl...

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 ...

A Nonparametric Approach to Noisy and Costly Optimization

Document Type: Paper
Tags: Memory-based Learning, Optimization, Active Learning

This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric resoning about simple geometric relationships to find minima efficiently. Two factors often frustrate optimization: noise and cost. Out...

Artur Dubrawski

Document Type: Person
Tags: GDA, Biosurveillance, Memory-based Learning, Mixture Models, Applications, Optimization, Association Rules, Locally Weighted Learning, Active Learning, Food Safety, Link Analysis, Social Networks, Dynamic Social Networks, Health of Equipment, Nuclear Safety

Artur Dubrawski considers himself a scientist and a practitioner. He has been tainted with real world entrepreneurial experiences. He had started up a successful company specializing in integration and deployment of advanced control systems and technological devices. He had also been affiliated ...

Brent Bryan

Document Type: Person
Tags: Statistical Data Mining for Astrophysics, Astrostatistics, Applications, Active Learning

Ph.D. Machine Learning, Carnegie Mellon University, PA M.S. Statistical and Automated Learning, Carnegie Mellon University, PA M.Ph. Astronomy, Yale University, CT M.S. Astronomy, Yale University, CT B.A. Mathematics & Astronomy/Physics Whitman College, WA