The 6th Asian Conference on Machine Learning (ACML2014) will be held in Nha Trang City, Vietnam from November 26 to 28, 2014. 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 conference proceedings will be published in The Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings series.
There will be an ACML Best Paper Award given to the most outstanding paper, which, apart from technical novelty, will also be judged on the quality of the experimental work, for instance, reproducibility. Selected papers from ACML'2014 will be invited to submit extended journal versions to an ACML special issue/section of the Machine Learning Journal.
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.
Submissions
The submission format is in accordance with The JMLR Workshop and Conference Proceedings series. Please see our Paper Submissions page.
Paper Submission of Early Cycle: 19 May 2014 Notification of Early Cycle: 30 June 2014 Paper Submission of Late Cycle: 4 August 2014 Reviews available: 1 September 2014 Author Rebuttal: 8 Sept 2014 Notification of Late Cycle: 6 October Sept 2014 Camera ready: 20 October 2014 ACML Conference: 26-28 November 2014 Topics of Interest
Topics of interest include but are not limited to:
1. Learning problems such as active learning, dimensionality reduction, feature selection, graphical models, learning in graphs, learning for big data, multiple instance learning, online learning, reinforcement learning, sparse modeling, semi-supervised learning, supervised learning, structured output learning, multi-task learning, unsupervised learning, Bayesian machine learning.
2. Analysis of learning systems such as computational learning theory, experimental evaluation, knowledge refinement, reproducible research, statistical learning theory.
3. Applications such as bioinformatics, biomedical informations, collaborative filtering, healthcare, computer vision, human activity recognition, information retrieval, natural language processing, social networks, web search.
Organizing Committee General Co-chairs Tu Bao Ho (JAIST, Japan) and Tru Hoang Cao (JVN, VNU-HCM, Vietnam) PC Co-chairs Hang Li (Huawei, Hong Kong) and Dinh Phung (Deakin University, Australia) Tutorial Co-chairs Hsuan-Tien Lin (National Taiwan University, Taiwan) and Marco Tucuri (Kyoto University, Japan) Workshop Co-chairs Min-Ling Zhang (Southeast University, China) and Lu Wei (Singapore University of Technology and Design)
Steering Committee Tom Dietterich (Oregon State University, USA) Tu Bao Ho (JAIST, Japan) 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 (Hong Kong University of Science and Technology, Hong Kong) Zhi-Hua Zhou (Nanjing University, China)
Senior Program Committee Hung Bui (Nuances Communication, USA) Wray Buntine (NICTA/Australian National University, Australia) Marco Cuturi (Kyoto University, Japan) Justin Domke (NICTA/Australian National University, Australia) Stephen Gould (NICTA/Australian National University, Australia) Steven Hoi (NTU Singapore, Singapore) Baogang Hu (Chinese Academy of Sciences, China) Hisashi Kashima (University of Tokyo, Japan) Kristian Kersting (University of Bonn, Germany) Kee-Eung Kim (KAIST, South Korea) Irwin King (Chinese University of Hong Kong, Hong Kong) James Kwok (Hong Kong University of Science and Technology, Hong Kong) Yuh-Jye Lee (NTUST Taiwan, Taiwan) Ping Li (Cornell University, USA) Hsuan-Tien Lin (National Taiwan University, Taiwan) Tie-Yan Liu (Microsoft Research Asia) Zhengdong Lu (Huawei Technologies, Hong Kong) Atsuyoshi Nakamura (Hokkaido University, Japan) Alice Oh (KAIST, South Korea) Cheng Soon Ong (NICTA/University of Melbourne, Australia) Bernhard Pfahringer (University of Waikato, New Zealand) Volker Roth (University of Basel, Switzerland) Scott Sanner (Australian National University, Australia) Shirish Shevade (Indian Institute of Science, India) Masashi Sugiyama (Tokyo Institute of Technology, Japan) Hoai An Le Thi (University of Metz, France) Dat Tran (University of Canberra, Australia) Truyen Tran (Deakin University, Australia) Jun Xu (Huawei Technologies, Hong Kong) Jieping Ye (Arizona State University, USA) Junping Zhang (Fudan University, China) Min-Ling Zhang (Southeast University, China) Jun Zhu (Tsinghua University, China)
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2014-03-22 10:30:58
2014-03-22
