Welcome to the 1st Lisbon Machine Learning School!

 

LxMLS 2011 is over now. Keep posted for LxMLS 2012!

Could not make it to LxMLS? Check the lecture VIDEOS.

LxMLS 2011 took place July 20-25 (*) at Instituto Superior Técnico, a leading Engineering and Science school in Portugal. It was organized jointly by IST, the Instituto de Telecomunicações and the Spoken Language Systems Lab - L2F of

INESC-ID.


In its debut year, the topic of the school was Learning for the Web.


The school covers a range of machine learning (ML) Topics, from theory to practice, that are important in solving natural language processing (NLP) problems that arise in the analysis and use of Web data.


Our target audience is:


  1. Researchers and graduate students in the fields of NLP and Computational Linguistics;

  2. Computer scientists who have interests in statistics and machine learning;

  3. Industry practitioners who desire a more in depth understanding of these subjects.


Features of LxMLS:


  1. No deep previous knowledge of ML or NLP is assumed;

  2. Recommended reading is provided in advance;

  3. Includes a strong practical component;

  4. A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises;

  5. Days will be divided into tutorials and practical sessions (view schedule);

  6. Both basic and advanced topics are covered;

  7. Instructors are leading researchers in machine learning.




(*) Note the convenient timeframe, strategically collocated in-between important ML and NLP conferences that are held nearby: IJCAI, UAI, and EMNLP.



 

July
20-25

Instituto
Superior Técnico
http://www.ist.utl.pt

NEWS


July 7th
Detailed schedule!




APRIL 15th
Application notification extended to April 20th.




MARCH 13th
New speakers for evening talks!


Updated accomodation information!


SAPO Data Challenge offers scholarships!




February 24th
New speakers added!


Schedule information update!




February 14th
Schedule update




January 26th
The website is up!


Deadline for Application: February 1st - March 31th

 

Sponsors: