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AAAI
2012
13 years 9 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
AAAI
2012
13 years 9 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
ICSE
2012
IEEE-ACM
13 years 9 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...
223
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Presentation
1575views
17 years 5 months ago
Beyond Generating Transit Performance Measures: Visualizations and Statistical Analysis using Historical Data
In recent years, the use of performance measures for transit planning and operations has gained a great deal of attention, particularly as transit agencies are required to provide ...
M. Berkow, A. El-Geneidy, R.L. Bertini, D. Crout
CVPR
2009
IEEE
17 years 1 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
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