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Theoretical Foundations of Machine Learning

Strona główna
Polska
Kraków
Theoretical Foundations of Machine Learning

Conference on Theoretical Foundations of Machine Learning (TFML 2017) will take place in Kraków, Poland, on February 13-17, 2017.

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
• cheminformatics
• drug design
• activity prediction
• representation learning
• generalization bounds
• optimization methods
• computational complexity of learning
• information theoretic learning

Conference is organized by Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University. Invited Speakers
• Bogusław Cyganek
• Eyke Hüllermeier
• Krzysztof Geras
• Marius Kloft
• Amos Storkey
• Gal Chechik
• Peter Kolbe

22/09/2016

Conference on Theoretical Foundations of Machine Learning (TFML 2017) will take place in Kraków, Poland, on February 13-17, 2017. We invite submissions of papers addressing theoretical aspects of machine learning and related topics.

http://tfml.gmum.net/

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

04/12/2014

Conference on Theoretical Foundations of Machine Learning (TFML 2015) will take place in Będlewo, Poland, on February 16-21, 2015. 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:

1. Theoretical foundations of
• supervised learning
• unsupervised learning
• semi-supervised learning
• deep learning
• active learning
• concept drift
• natural language processing
• neuroinformatics
2. generalization bounds
3. optimization methods
4. computational complexity of learning
5. information theoretic learning

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

Invited Speakers

• Bernhard Geiger
• Eyke Hüllermeier
• Małgorzata Bogdan
• Manuel Graña
• Jerzy Ombach

Publication model

1. The journal track. Original, unpublished research papers can be submitted to this track through easychair system. They will be peer reviewed and after acceptance and presentation during the TFML conference published in Schedae Informaticae Journal.
2. The latebreaking talks track, which is aimed at researchers willing to present their latest work during TFML, but without publishing it in journal/proceedings. This works will still undergo peer review and have to be uploaded to arXiv and registered in the easychair system.

Key dates:

• paper submission
Journal track: 10 Nov 10 Dec 2014
Latebreaking talks track: 10 Dec 2014
• decision notification - 5 Jan 2015
• camera ready version - 12 Jan 2015
• conference - 16-21 Feb 2015

If you have questions, please contact: [email protected]

Fees:

Registration fee of 1300 PLN (350 euro) covers:
• presentation slot
• publication of one paper
• accomondation and lodging
• food (breakfast, dinners and suppers)
• coffee breaks
• welcome party
• proceedings
There is possibility of discounts for phd students.

more info: http://tfml.gmum.net/

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

Adres

Kraków

Strona Internetowa

http://tfml.gmum.net/

Ostrzeżenia

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