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