PASCAL Bootcamp in Machine Learning, Vilanova 2007
Pascal Boot camp is meant to be a crossroad between a summer school and a strong workshop session.
- And the following professors kindly accepted to participate:
- Isabelle Guyon, Ulrike von Luxburg, Mark Girolami, Colin de la Higuera, Joaquín Quiñonero, Florence d'Alche-Buc, William Triggs, Mikaela Keller, Amir Saffari, Cecilio Angulo, Mario Martín, Lluís Belanche.
The main topics developed in this summercamp will be:
- Basic Math and TCS for Machine Learning
- Useful existing software for Machine Learning
- Introduction to Machine Learning
- Theoretical frameworks and foundations
- Experimental Machine Learning
- Feature extraction and model selection
- Graphical models
- Kernel methods and linear predictors
- Clustering
- General view of application areas
- Machine learning in vision
- Machine learning in user interfaces
- Machine learning for data mining
Introduction and Panels | ||||
Lectures | ||||
Student Sessions | ||||
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