posted by organizer: hsuantien || 99929 views || tracked by 192 users: [display]

ACML 2017 : The 9th Asian Conference on Machine Learning

FacebookTwitterLinkedInGoogle


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

Related Resources

ICACTE 2026   IEEE--2026 The 19th International Conference on Advanced Computer Theory and Engineering (ICACTE 2026)
AMLDS 2026   IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science
Tokyo-RSAI 2026   2026 International Conference on Robotic Systems and Artificial Intelligence (RSAI 2026)
Ei/Scopus-CMLDS 2026   2026 3rd International Conference on Computing, Machine Learning and Data Science (CMLDS 2026)
SSPS 2026   Springer--2026 8th International Symposium on Signal Processing Systems (SSPS 2026)
IEEE-ICECCS 2026   2025 IEEE International Conference on Electronics, Communications and Computer Science (ICECCS 2026)
IFSP 2026   2026 The 6th International Forum on Signal Processing (IFSP 2026)
CVIPPR 2026   2026 4th Asia Conference on Computer Vision, Image Processing and Pattern Recognition (CVIPPR 2026)
IEEE WAIE 2026   IEEE--2026 8th International Workshop on Artificial Intelligence and Education (WAIE 2026)
CDEF 2026   4th International Conference on Computational and Data Sciences in Economics and Finance