About
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
Videos
Introduction and Panels

PANEL: Experiences in research, teaching, and applications of ML
Jul 9, 2007
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21954 views

Introduction and Welcome to the PASCAL Bootcamp in Machine Learning 2007
Jul 2, 2007
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4997 views
Lectures

Feature construction
Nov 6, 2007
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10323 views

Kernels and Gaussian Processes
Jul 9, 2007
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17394 views

The EM algorithm and Mixtures of Gaussians
Jul 6, 2007
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25673 views

Probability, Information Theory and Bayesian Inference
Jul 5, 2007
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39465 views

Casuality and feature selection
Nov 14, 2007
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7364 views

Other ML/DM software (R, Weka, Yale)
Jul 5, 2007
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17285 views

Basics of probability and statistics
Jul 2, 2007
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281960 views

Basics of algorithmics, computation models, formal languages
Jul 2, 2007
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19989 views

Introduction to feature selection
Jul 4, 2007
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41344 views

Learning without overlearning
Jul 4, 2007
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10967 views

Machine Learning in Vision
Jul 12, 2007
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16540 views

Introduction to CLOP Machine Learning Toolbox
Jul 2, 2007
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6881 views

ML in Bioinformatics
Oct 30, 2007
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13047 views

Lectures on Clustering
Jul 9, 2007
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86618 views

Introduction to Machine Learning
Jul 2, 2007
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66708 views

Embedded Methods
Jul 5, 2007
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12303 views

Theory and Applications of Kernel Space
Jul 11, 2007
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13236 views
Student Sessions

An Introduction to Ensemble and Boosting
Jul 10, 2007
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12538 views

Learning the topology of a data set
Jul 12, 2007
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6868 views

System for extracting data (facts) from large amount of unstructured documents
Jul 12, 2007
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7386 views