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

 


Winter 2006


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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