PASCAL Bootcamp in Machine Learning, Vilanova 2007

PASCAL Bootcamp in Machine Learning, Vilanova 2007

22 Videos · Jul 2, 2007

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

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01:08:24

PANEL: Experiences in research, teaching, and applications of ML

Jul 9, 2007

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21954 views

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04:02

Introduction and Welcome to the PASCAL Bootcamp in Machine Learning 2007

José L. Balcázar

Jul 2, 2007

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4997 views

Lectures

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01:25:20

Feature construction

Isabelle Guyon

Nov 6, 2007

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10323 views

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03:07:33

Kernels and Gaussian Processes

Mark Girolami

Jul 9, 2007

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17394 views

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02:01:49

The EM algorithm and Mixtures of Gaussians

Joaquin Quiñonero Candela

Jul 6, 2007

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25673 views

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01:46:59

Probability, Information Theory and Bayesian Inference

Joaquin Quiñonero Candela

Jul 5, 2007

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39465 views

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21:15

Casuality and feature selection

Isabelle Guyon

Nov 14, 2007

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7364 views

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56:57

Other ML/DM software (R, Weka, Yale)

Lluís Belanche

Jul 5, 2007

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17285 views

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03:02:14

Basics of probability and statistics

Mikaela Keller

Jul 2, 2007

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281960 views

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02:21:56

Basics of algorithmics, computation models, formal languages

Colin de la Higuera

Jul 2, 2007

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19989 views

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57:16

Introduction to feature selection

Isabelle Guyon

Jul 4, 2007

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41344 views

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55:47

Learning without overlearning

Isabelle Guyon

Jul 4, 2007

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10967 views

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02:38:48

Machine Learning in Vision

Bill Triggs

Jul 12, 2007

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16540 views

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01:16:14

Introduction to CLOP Machine Learning Toolbox

Amir Saffari

Jul 2, 2007

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6881 views

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01:29:45

ML in Bioinformatics

Florence d'Alche-Buc

Oct 30, 2007

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13047 views

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03:24:22

Lectures on Clustering

Ulrike von Luxburg

Jul 9, 2007

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86618 views

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01:17:48

Introduction to Machine Learning

Isabelle Guyon

Jul 2, 2007

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66708 views

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45:05

Embedded Methods

Isabelle Guyon

Jul 5, 2007

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12303 views

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02:37:55

Theory and Applications of Kernel Space

Florence d'Alche-Buc

Jul 11, 2007

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13236 views

Student Sessions

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16:20

An Introduction to Ensemble and Boosting

Amir Saffari

Jul 10, 2007

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12538 views

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26:34

Learning the topology of a data set

Pierre Gaillard

Jul 12, 2007

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6868 views

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18:11

System for extracting data (facts) from large amount of unstructured documents

Luka Bradeško

Jul 12, 2007

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7386 views