ACML 2017 Call for Papers (final cycle)

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Hsuan-Tien Lin

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Jul 7, 2017, 1:59:32 AM7/7/17
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ACML 2017 Call for Papers

The 9th Asian Conference on Machine Learning (ACML 2017) will take
place on November 15 - 17, 2017 at Baekyang Hall of Yonsei University
campus, Seoul, Korea. We invite professionals and researchers to
discuss research results and ideas in machine learning. We seek
original and novel research papers resulting from theory and
experiment of machine learning. The conference also solicits proposals
focusing on disruptive ideas and paradigms within the scope. We
encourage submissions from all parts of the world, not only confined
to the Asia-Pacific region.

We are running two publication tracks following the last year's
practice: authors may submit either to the conference track, for which
the proceedings will be published as a volume of Proceeding of Machine
Learning Research (PMLR) series, or to the journal track for which
accepted papers will appear in a special issue of the Machine Learning
Journal.
Please note that submission arrangements for the two tracks are different.

Submission guidelines: http://www.acml-conf.org/2017/authors/call-for-papers/


Conference Scope
Topics of interest include but are not limited to:

- Learning problems
Active learning, Bayesian machine learning, Deep learning, latent
variable models, Dimensionality reduction, Feature selection,
Graphical models, Learning for big data, Learning in graphs, Multiple
instance learning, Multi-objective learning, Multi-task learning,
Semi-supervised learning, Sparse learning, Structured output learning,
Supervised learning, Online learning, Transfer learning, Unsupervised
learning

- Analysis of learning systems
Computational learning theory, Experimental evaluation, Knowledge
refinement, Reproducible research, Statistical learning theory

- Applications
Bioinformatics, Biomedical information, Collaborative filtering,
Healthcare, Computer vision, Human activity recognition, Information
retrieval, Natural language processing, Social networks, Web search

- Learning in knowledge-intensive systems
Knowledge refinement and theory revision, Multi-strategy learning, Other systems


Important Dates

- March 31, 2017 Journal Track Submission Deadline
- May 10, 2017 Workshop and Tutorial Proposals
- May 10, 2017 Early Submission Deadline
- June 20, 2017 Early Notification Date
- August 5, 2017 Final Submission Deadline
- September 15, 2017 Final Notification Date
- October 2, 2017 Final Manuscript Deadline

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Hsuan-Tien Lin ht...@csie.ntu.edu.tw
http://www.csie.ntu.edu.tw/~htlin
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Associate Professor
Dept. of Computer Science and Information Engineering
& Graduate Institute of Networking and Multimedia
National Taiwan University
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