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    MLS 2012 - Machine Learning for Sequences 2012

    View: 647

    Website icpram.org | Want to Edit it Edit Freely

    Category MLS 2012

    Deadline: October 24, 2011 | Date: February 06, 2012-February 08, 2012

    Venue/Country: Algarve, Portugal

    Updated: 2011-11-07 15:38:37 (GMT+9)

    Call For Papers - CFP

    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.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.