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I&C School of Computer and Communication Sciences
Ecole Polytechnique Fédérale de Lausanne

english only

 

 

 COURSE

 LINKS


Site content:
Informations and course material is given on Moodle
 

Exam: Written exam. The only document allowed is a single A4 page with your own notes for the whole course. You may write on both sides of the page.

The miniproject, the exam of Prof. Gerstners part and the exam of prof. Haslers part count each for 1/3 of the grade.


Laboratory of nonlinear systems:
LANOS Homepage

Laboratory of computational neuroscience LCN-homepage


 

 

Pattern Classification and Machine Learning

 

Data classification is at the heart of all learning and recognition. Inthis course the student will learn to master all relevant algorithms(artificial neural networks, Bayes classification, support vector machine) and understand the fundamentals of statistical learning theory. The course is given jointly with Prof. Wulfram Gerstner

Prof. Martin Hasler

Bureau: BC 220

e-mail: martin.hasler@epfl.ch

 


 

News

If you decide to take the course, apart from registring with IS-Academia, please sign up for the course in Moodle:
  • After getting to the page http://moodle.epfl.ch, you have to identify yourself by GASPAR. Then, a page appears with the list of sections.
  • Choose "Systèmes de Communication, Master" and then the title of the course .
  • Then sign up for the course using the enrolment key that will be communicated during the first course (ask for it if you come later)




Summer semester 2008
Course:
Tuesday,      14:15-16:00  INM202
             Wednesday,  9:15-11.00  ELA1
Exercises: Tuesday, 16:15-18:00 INM202