Connectionists: CFP - 7th Asian Conference on Machine Learning

[Bob Durrant]

With apologies for cross-posting, please find CFP for the 7th ACML below.
Regards,
Bob

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ACML 2015 Call for Papers

November 20-22, 2015, Hong Kong

http://acml-conf.org/2015

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ACML 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 highly encouraged.

ACML 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. Topics covered include but are not limited to:

- Learning Problems

* Active learning

* Bayesian machine learning

* 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



Important Dates

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Workshop Proposal Deadline:  May 11, 2015

Tutorial Proposal Deadline:       May 11, 2015

Early Submission Deadline: May 11, 2015

Early Notification Date: June 22, 2015

Final Submission Deadline:      August 3, 2015

Final Notification Date: September 21, 2015

Camera Ready Deadline: October 5, 2015



Paper Information

==================

Papers should be written in English and formatted according to the JMLR 
Workshop and Conference Proceedings format. Paper submissions should 
ensure double-blind reviews.  Please be sure to remove any information 
from your submission that can identify the authors, including author 
names, affiliations, self-citations and any acknowledgments.

Proceedings will be published as a volume of JMLR: Workshop and 
Conference Proceedings.  Authors of selected papers will be invited to 
submit a significantly extended version of their papers to special 
issues of machine learning journals.



Review Process

==================

ACML adopts two double-blind submission cycles. Papers not accepted from 
the first cycle might be invited as "conditional accept subject to 
required revisions", and "resubmit" with notification in time for them 
to make the submission deadline of the late cycle. The second cycle has 
the usual "accept" or "reject" outcomes. The submission of "conditional 
accept" decision is strongly encouraged to carefully address the review 
comments in their revision. The revision without addressing the review 
comments adequately will be rejected. The submission of "resubmit" 
decision must be significantly improved and revised before it can be 
re-submitted in the late deadline. Fresh submissions that have not made 
in the early cycle are also welcome for the late cycle. The late 
submission cycle will include an author rebuttal period.



Organizing Committee

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- General Co-Chairs

  * Irwin King, CUHK, Hong Kong

  * Hang Li, Huawei Noah’s Ark Lab, Hong Kong

- Program Co-Chairs

  * Geoffrey Holmes, Waikato University, New Zealand

  * Tie-Yan Liu, MSRA, China

- Local Arrangements Co-Chairs

  * Raymond Wong, HKUST, Hong Kong

  * Haiqin Yang, CUHK, Hong Kong

- Workshop Co-Chairs

  * Zhengdong Lu, Huawei Noah’s Ark Lab, Hong Kong

  * Zenglin Xu, University of Electronic Science and Technology of 
China, China

- Tutorial Co-Chairs

  * Chi-Shing Leung, City University of Hong Kong, Hong Kong

  * Yiu-Ming Cheung, Hong Kong Baptist University, Hong Kong

- Publication Co-Chairs

  * Paul Pang, Unitec Institute of Technology, New Zealand

  * Kaizhu Huang, Xi’an Jiaotong-Liverpool University, China



Steering Committee

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Wray Buntine, NICTA, Australia

Thomas G. Dietterich, Oregon State University, USA

Tu Bao Ho, JAIST, Japan

Wee Sun Lee, NUS, Singapore

Chih-Jen Lin, NTU, Taiwan

Bernhard Pfahringer, Waikato University, New Zealand

Masashi Sugiyama, Tokyo Institute of Technology, Japan

Takashi Washio, Osaka University, Japan

Geoff Webb, Monash University, Australia

Qiang Yang, HKUST, Hong Kong

Zhi-Hua Zhou, Nanjing University, China