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Anderson, B., Siddiqqi, S., and Moore, A.
Sequence Selection
for Active Learning
Tech Report CMU-IR-TR-06-16, April, 2006
[pdf]
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Anderson, B. and Moore, A.
Fast Information Value for Graphical Models
In Neural Information Processing Systems,
2005.
[pdf]
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Anderson, B. and Moore, A.
Active Learning for Hidden Markov Models: Objective
Functions and Algorithms
In International Conference on Machine Learning,
2005.
[pdf]
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Anderson, B., Moore, A., Connolly, A. and Nichol, B.
Eigengalaxies for Fast Galaxy Morphology
In Knowledge Discovery and Data Mining,
2004.
[ps]
[pdf]
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Anderson, B.
Nonparametric Optimization and Galactic Morphology
PhD. Thesis, Carnegie Mellon University, Pittsburgh, PA, 2003.
[pdf]
[ps.gz]
- Anderson, B., Moore, A. and Cohn, D.
A Nonparametric Approach to Noisy and Costly Optimization
In International Conference on Machine Leanring,
2000.
[ps]
[pdf]
- Anderson, B., Butts, C., and Carley, K.
The Interaction of Size and Density with Graph Level
Indices
In Social Networks Journal,
21(3):
339-267, 1999.
[pdf]
[ps]
- Anderson, B. and Moore, A.
ADtrees for Fast Counting and Fast Learning of Association
Rules
In Knowledge Discovery and Data Mining, 1998.
[pdf]
[ps]
-
Active Learning as Active Inference
Job Talk presented at several industrial research labs during 04/06. (100+ slides)
[ppt]
-
Machine Learning and the Axioms of Probability
Tutorial presented at DIMACS (Center for Discrete Mathematics and
Computer Science) at Rutgers, New Jersey on 03/23/06.
[ppt]
- Active Learning and Hidden Markov Models
Talk at Brigham Young University on 02/17/06.
[ppt]