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Wheaton College     Norton, Massachusetts
Faculty > Tom Armstrong

Tom Armstrong

Assistant Professor of Computer Science

Office: Science Center 106a
Phone: 508.286.5686
Fax: 508.286.8278
Email: armstrong_tom@wheatoncollege.edu
Personal web page

Degrees

Ph.D., University of Maryland Graduate School, Baltimore
B.S., University of Massachusetts Amherst

Research Interests

Machine Learning
Language Acquisition
Cognitive Robotics
Data Mining

Student Projects

Text-to-Sketch -- 2008-2009, Wheaton Research Partnership

Selected Publications, Creative Work or Performances

Tom Armstrong and Tim Oates. Which Came First, the Grammar or the Lexicon? In the Proceedings of the 9th International Colloquium on Grammatical Inference (ICGI), 2008.

Tom Armstrong. Book Review: "Unifying Computing and Cognition," by J. Gerard Wolff. Artificial Intelligence. Volume 171, Issue 18, December 2007.

Tom Armstrong and Tim Oates. RIPTIDE: Segmenting Data Using Multiple Resolutions. In the Proceedings of the 6th IEEE International Conference on Development and Learning (ICDL), 2007.

Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, and Mike Atamas. Inferring Grammars for Mildly Context-Sensitive Languages in Polynomial-Time. In the Proceeding of the 8th International Colloquium on Grammatical Inference (ICGI), 2006.

Joe Catalano, Tom Armstrong, and Tim Oates. Discovering Patterns In Real-valued Time Series. In the Proceedings of the 10th European Conference on Principles and Practice of Knowledege Discovery in Databases (PKDD), 2006.

Tim Oates, Tom Armstrong, Justin Harris, and Mark Nejman. On the Relationship Between Lexical Semantics and Syntax for the Inference of Context-Free Grammars. In the Proceedings of the 19th National Conference on Artificial Intelligence (AAAI), 2004.

 

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