PASCAL Bootcamp 2010

Marseille, 5-13 July

Courses Organisation

Each bootcamp day will be devoted to the presentation of a particular theme. For each theme, during the first half-day, participants will receive an initiation to the fundamentals of the domain. The second half-day will be dedicated to applicate aspects. In paticular, each day, exercises sessions (on a computer or not) will enforce the theoretical contents of the lecture. All courses will be filmed and displayed on Videolectures.

Schedule

The following schedule is provisional and will consequently be modified in the next weeks. The topics of the courses and are definitive.

Day | Morning (8 AM) | Afternoon (2 PM) |
---|---|---|

Monday, July 5th | Introduction to Machine Learning | |

Tuesday, July 6th | Probability and Mathematical Needs 1 | Probability and Mathematical Needs 2 |

Wednesday, July 7th | Graphical Models 1 | Graphical Models 2 |

Thursday, July 8th | Kernel Methods 1 | ML for Natural Languages Processing 1 |

Friday, July 9th | ML for Natural Languages Processing 2 | Kernel Methods 2 |

Saturday, July 10th | On-Line Learning 1 | On-Line Learning 2 |

Monday, July 12th | Panel session | Grammatical Induction |

Tuesday, July 13th | Clustering |

Here is the list of teachers of the bootcamp:

- Introduction to Machine Learning : Iain Murray
- Probability and Mathematical Needs : Sandrine Anthoine
- Graphical Models : Cédric Archambeau
- Kernel Methods : Liva Ralaivola
- ML for Natural Languages Processing: Georges Linares and Joan Andreu Sanchez
- On-Line Learning: Roberto Paredes

A detailed planning is available here.

Courses Materials

- Iain Murray. Introduction to Machine Learning
- Sandrine Anthoine. Probabilities and Mathematical Needs
- Joan Andreu Sanchez. Probabilistic Estimation of Probabilistic Syntactic Models
- Cedric Archambeau. An Introduction to Probabilistic Graphical Models
- Cedric Archambeau. An Introduction to Probabilistic Graphical Models: Exercises
- Roberto Paredes. Online Learning
- Roberto Paredes. Online Learning Exercises
- Georges Linares. Speech Processing
- Georges Linares. Speech Processing Exercises
- Liva Ralaivola. Introduction to Kernel Methods
- Liva Ralaivola. Training an SVM in the Primal
- Colin de la Higuera. Grammatical Inference
- Sandrine Anthoine. Probability and Mathematical Needs - Lab Session: Solution of the Problem
- Colin de La Higuera. Ethics and Strategy in Research

Bibliography

General Machine Learning

- Tom Mitchell. Machine Learning

Matlab Code

- Coming soon...