Choix 2006
- Using the Triangle Inequality to Accelerate k-Means , par C. Elkan
- Mounir Fegas, Resumé, Présentation
- An Efficient Method for Simplifying Support Vector Machines, DucDung Nguyen, Tu Bao Ho
- Tran Viet Anh Resumé, Présentation
- Diverse Ensembles for Active Learning, par Prem Melville and Raymond J. Mooney
- Chan Shen Resumé, Présentation
- Less is More: Active Learning with Support Vector Machines, Greg Schohn and David Cohn.
- Panagiota Nikolaidou, Resumé, Présentation
- Active Learning for Natural Language Parsing and Information Extraction, Cynthia A. Thompson, Mary Elaine Califf and Raymond J. Mooney
- Philippe Gambette Resumé, Présentation
- A Brain Computer Interface with Online Feedback based on Magnetoencephalography Thomas Navin Lal, Michael Schröder, N. Jeremy Hill, Hubert Preissl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas, Hofmann, Niels Birbaumer, Bernhard Schölkopf
- Arpad Rimmel Resumé, Présentation
- Learning Programs from Traces Using Version Space Algebra, Tessa Lau and Dan Weld and Pedro Domingos
- Louis-Noel Pouchet, Resumé, Présentation
- Relational learning as search in a critical region, Mario Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag
- Lou Fedon Resumé, Présentation
- Representing and Reasoning about Mappings between Domain Models, Jayant Madhavan, Phil Bernstein and Alon Halevy and Pedro Domingos
- Fang Zhou, Resumé, Présentation
- Semi-Supervised Learning of Mixture Models and Bayesian Networks, Fabio Gagliardi Cozman, Ira Cohen
- Loïc DUGAST, Resumé, Présentation
- Experimental Comparison between Bagging and Monte Carlo Ensemble Classification, par Roberto Esposito, Lorenza Saitta
- Mouhamadou Thiam Resumé, Présentation
- Learning Forward Models for Robots, par Anthony Dearden and Yiannis Demiris
- Enguerran Colson Resumé, Présentation, Video
- Resource-Limited Genetic Programming: Replacing Tree Depth Limits , Sara Silva, Pedro Silva, Ernesto Costa
- Adrien Maudet, Resumé, Présentation
- Sub-structural Niching in Estimation Distribution Algorithms, Sastry, K., Abbass, H. A., Goldberg, D. E., Johnson, D.D.
- Justine Lebrun, Resumé
- Evaluation of text data mining for database. curation: lessons learned from the KDD. Challenge Cup, Alexander S. Yeh et al.
- Marie Guégan, Resumé, Présentation
- Magical Thinking in Data Mining: Lessons From CoIL Challenge 2000, C. Elkan
- Mirija RAKOTONANAHARY, Resumé, Présentation