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TFML 2015 : Conference on Theoretical Foundations of Machine Learning 2015

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Link: http://tfml.gmum.ii.uj.edu.pl
 
When Feb 16, 2015 - Feb 21, 2015
Where Będlewo, Poland
Submission Deadline Dec 10, 2014
Notification Due Jan 5, 2015
Final Version Due Jan 12, 2015
Categories    machine learning   artificial intelligence   data mining   NLP
 

Call For Papers

TFML 2015
Conference on Theoretical Foundations of Machine Learning
http://tfml.gmum.ii.uj.edu.pl
Będlewo, Poland, February 16-21, 2015


Conference is organized by Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University.





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CALL FOR PAPERS
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We invite submissions of papers addressing theoretical aspects of machine learning and related topics. We strongly support a broad definition of learning theory, including, but not limited to:

** Theoretical foundations of **
- supervised learning
- unsupervised learning
- semi-supervised learning
- deep learning
- active learning
- concept drift
- natural language processing
- neuroinformatics

** Generalization bounds **
** Optimization methods **
** Computational complexity of learning **
** Information theoretic learning **


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TWO PUBLICATION MODELS
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** The journal track **
** The latebreaking talks track **


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THE JOURNAL TRACK
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Papers should be prepared according to the Schedae Informaticae template. Page limit (including references, and other additional materials) is 8 pages. All accepted papers will be published in Schedae Informaticae Journal. At least one author of each publication has to attend the conference and present it during oral/poster session.

The maximum page limit for paper has been increased to 10. Please recall that the deadline for submissions is Wednesday 10 December 2014.


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THE LATEBREAKING TALKS TRACK
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It is aimed at researchers willing to present their latest work during conference, but without publishing it in journal/proceedings.


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CONTACT
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For any enquiries, please contact us: tfml@uj.edu.pl

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