Introduction : special issue of selected papers from ACML 2014

Li, Hang, Phung, Quoc-Dinh, Cao, Tru, Ho, Tu-Bao and Zhou, Zhi-Hua 2016, Introduction : special issue of selected papers from ACML 2014, Machine learning, vol. 103, no. 2, pp. 137-139, doi: 10.1007/s10994-016-5549-9.

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Title Introduction : special issue of selected papers from ACML 2014
Author(s) Li, Hang
Phung, Quoc-DinhORCID iD for Phung, Quoc-Dinh orcid.org/0000-0002-9977-8247
Cao, Tru
Ho, Tu-Bao
Zhou, Zhi-Hua
Journal name Machine learning
Volume number 103
Issue number 2
Start page 137
End page 139
Total pages 3
Publisher Springer
Place of publication New York, N.Y.
Publication date 2016-05
ISSN 0885-6125
1573-0565
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
Summary We are delighted to present this special issue of Machine Learning Journal with selected papers from the Sixth Asian Conference on Machine Learning (ACML 2014) held in Nha Trang City, Vietnam from 26 to 28 November 2014. ACML aims at providing a leading international forum for researchers in machine learning and related fields to share their new ideas and achievements. While located in Asia, the conference has a wide visibility to the international community. ACML was the first machine learning conference with two cycles of submissions with a strict double-blind review process, and this tradition continues. ACML 2014 received 80 submissions from 20 countries across Asia, Australasia, Europe and North America. Each paper was assigned with two meta-reviewers and at least four reviewers. In the end, 25 papers were accepted into the main program, accounting for an acceptance rate of 31.25 % (Phung and Li 2014).
Language eng
DOI 10.1007/s10994-016-5549-9
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C4 Letter or note
ERA Research output type C Journal article
Copyright notice ©2016, The Author(s)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083593

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