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MLS 2012 : Machine Learning for Sequences 2012


When Feb 6, 2012 - Feb 8, 2012
Where Vilamoura, Algarve, Portugal
Submission Deadline Oct 24, 2011
Notification Due Nov 11, 2011
Final Version Due Nov 25, 2011
Categories    artificial intelligence   machine learning   computer science

Call For Papers

Special Session

Machine Learning for Sequences 2012

6-8 February, 2012 - Vilamoura, Algarve, Portugal


Thierry Artières, Université Pierre et Marie Curie (UPMC), France


Sequence classification and sequence labeling is at the heart of many pattern recognition and data mining tasks, in fields such as speech and handwriting recognition, bioinformatics, etc. Beyond well known Hidden Markov Models (HMMs), which have been widely used for modeling sequences of patterns, a number of alternative methods and models have been proposed in the recent years. These approaches include for instance discriminative training (e.g. large margin) of Hidden Markov Models, on-line learning of such models, discriminative models based on Conditional Random Fields, etc.
This special session aims at sharing new ideas and works on models and approaches for improving over state of the art methods for signal and sequence classification and labeling tasks.

Important Dates

Paper Submission: October 24, 2011
Authors Notification: November 11, 2011
Final Paper Submission and Registration: November 25, 2011

Paper Submission

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Submission Guidelines.
Papers should be submitted electronically via the web-based submission system at:


All accepted papers (full, short and posters) will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index).
All papers presented at the conference venue will be available at the SciTePress Digital Library ( SciTePress is member of CrossRef (

Secretariat Contacts


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