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Kernels and Gaussian Processes
This video was recorded at 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
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