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ACML 2017 : The 9th Asian Conference on Machine Learning

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Conference Series : Asian Conference on Machine Learning
 
Link: http://www.acml-conf.org/2017
 
When Nov 15, 2017 - Nov 17, 2017
Where Seoul, Korea
Submission Deadline Aug 5, 2017
Notification Due Sep 15, 2017
Final Version Due Oct 2, 2017
Categories    machine learning   data mining   deep learning   computer science
 

Call For Papers

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 Journal of Machine Learning Research: Workshop and Conference Proceedings (JMLR W&CP) 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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