The Text Analysis and Machine Learning Group
Executive summary |
What is Knowledge Management? |
The team |
Brief history |
Results and accomplishments |
Current graduate students |
International, national and industrial cooperation
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Winter 2006 |

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Jan. 17, 2:30 pm |
Benjamin Wang University of Ottawa
Boosting Support Vector Machines |
Jan. 24, 2:30 pm |
Daniel Lemire Université du Québec à Montréal
Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation |
Jan. 31, 2:30 pm |
Dragos Calitoiu Carleton University
Chaotic Systems for Brain Modeling |
Feb. 7, 2:30 pm |
William Elazmeh University of Ottawa
A framework for measuring differences between classifiers |
Feb. 14, 2:30 pm |
Oana Frunza University of Ottawa
Automatic Identification of Cognates and False Friends in French and English |
Feb. 28, 2:30 pm |
Brad Malin Carnegie Mellon University
DNA Re-identification and Privacy in Distributed Environments |
Mar. 7, 2:30 pm |
Yimin Ma University of Ottawa
Active Learning for Text Classification |
Mar. 14, 2:30 pm |
Ramanjot Singh Bhatia University of Ottawa
Automating Assignment of Semantic Relations |
Mar. 21, 2:30 pm |
Hillol Kargupta University of Maryland, Baltimore County and Agnik, LLC
Distributed Data Mining: Current Pleasures and Emerging Directions |
Mar. 28, 2:30 pm |
Joel Martin NRC
Factor: More precise fact finding in full text articles |
Apr. 18, 2:30 pm |
Anna Kazantseva University of Ottawa
An approach to summarizing short stories |
Apr. 21, 2:30 pm |
Carla Brodley Tufts University
Challenges in the Practical Application of Machine Learning |
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