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PASCAL Bootcamp in Machine Learning

Description

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
136 views, 00:04:02 Introduction and Welcome to the workshop José Balcázar	814 views, 01:08:24 PANEL: Experiences in research, teaching, and applications of ML Joaquin Quiñonero Candela, Colin de la Higuera, Isabelle Guyon, José Balcázar, Mark Girolami, Mikaela Keller, Ulrike von Luxburg
Lectures
invited talk [syn]  1277 views, 01:17:48 Introduction to Machine Learning Isabelle Guyon	[syn]  370 views, 02:21:56 Basics of algorithmics, computation models, formal languages Colin de la Higuera 4 comments	[syn]  9912 views, 03:02:12 Basics of probability and statistics Mikaela Keller 27 comments	125 views, 01:16:14 Introduction to CLOP Machine Learning Toolbox Amir Saffari
[syn]  162 views, 00:55:46 Learning without overlearning Isabelle Guyon	[syn]  598 views, 00:57:16 Introduction to feature selection Isabelle Guyon	[syn]  175 views, 00:45:05 Embedded Methods Isabelle Guyon	237 views, 00:56:57 Other ML/DM software (R, Weka, Yale) Lluís Belanche 1 comment
48 views, 01:48:33 Feature construction Isabelle Guyon	[syn]  34 views, 00:21:15 Casuality and feature selection Isabelle Guyon	[syn]  628 views, 01:47:07 Probability, Information Theory and Bayesian Inference Joaquin Quiñonero Candela 1 comment	374 views, 02:01:49 The EM algorithm and Mixtures of Gaussians Joaquin Quiñonero Candela 4 comments
[syn]  303 views, 03:07:33 Kernels and Gaussian Processes Mark Girolami	[syn]  1405 views, 03:24:20 Lectures on Clustering Ulrike von Luxburg 2 comments	383 views, 02:37:54 Theory and Applications of Kernel Space Florence d'Alché	339 views, 02:38:47 Machine Learning in Vision Bill Triggs
133 views, 01:29:45 ML in Bioinformatics Florence d'Alché
Student Sessions
138 views, 00:16:20 An Introduction to Ensemble and Boosting Amir Saffari 2 comments	[syn]  32 views, 00:26:34 Learning the topology of a data set Pierre Gaillard	[syn]  128 views, 00:18:11 System for extracting data (facts) from large amount of unstructured documents Luka Bradeško

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