posted by user: tym1060326 || 40410 views || tracked by 79 users: [display]

ACML 2015 : 7th Asian Conference on Machine Learning

FacebookTwitterLinkedInGoogle


Conference Series : Asian Conference on Machine Learning
 
Link: http://acml-conf.org/2015/
 
When Nov 20, 2015 - Nov 22, 2015
Where Hong Kong
Submission Deadline May 11, 2015
Notification Due Jun 11, 2015
Final Version Due Aug 3, 2015
 

Call For Papers

The 7th Asian Conference on Machine Learning (ACML2015) will be held in Hong Kong on November 20-22, 2015. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progresses and achievements. Submissions from regions other than the Asia-Pacific are also highly encouraged. The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning.

The proceedings will be published as a volume of Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings series.

For questions and suggestions on paper submission, please write to: acml2015program@gmail.com

Related Resources

IEEE ICRCV 2026   IEEE--2026 8th International Conference on Robotics and Computer Vision (ICRCV 2026)
ICREC--EI 2026   2026 11th International Conference on Renewable Energy and Conservation (ICREC 2026)
ICCS--EI 2026   2026 the 6th International Conference on Computer Systems (ICCS 2026)
ACML 2026   18th Asian Conference on Machine Learning
2026 SNUAC Conference on Asian Studies 2026   (2026 SNUAC Conference on Asian Studies) Transcending Borders: Asia and Beyond in an Age of Multi-Crisis
AsiaEdu 2026   2026 Asia Conference on Education Technology (AsiaEdu 2026)
AsiaEdu--EI 2026   2026 Asia Conference on Education Technology (AsiaEdu 2026)
Behaviour, Learning & the Economy 2026   ERUNI ERC London Launch Workshop Behaviour, Learning & the Economy
Learning & Optimization 2026   ASCE EMI Minisymposium on Probabilistic Learning, Stochastic Optimization, and Digital Twins