ACML 2011 - The 3rd Asian Conference on Machine Learning (ACML2011)

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Category ACML 2011

Deadline: July 23, 2011 | Date: November 13, 2011-November 15, 2011

Venue/Country: Taoyuan, Taiwan

Updated: 2011-07-19 12:35:35 (GMT+9)

Call For Papers - CFP

Taoyuan, Taiwan, November 13-15, 2011

http://acml2011.ncu.edu.tw/

The 3rd Asian Conference on Machine Learning (ACML2011) will be held

in November 13-15, 2011, in Taoyuan, Taiwan. The conference aims at

providing a leading international forum for researchers in Machine

Learning and related fields to share their new ideas and achievements.

Submissions from other than the Asia-Pacific regions are also highly

encouraged.

Important dates:

* July 11, 2011, 23:59:59 (CST): Electronic abstracts due

(extended from 1 July)

* July 23, 2011, 14:59:59 (CST): Electronic papers due

(extended from 19 July)

* September 6, 2011: Notification of acceptance or rejection

* September 20, 2011: Camera-ready copy due at ACML office

ACML2011 calls for papers that report high quality original research

results on machine learning and related fields. The topics include

but are not limited to the following:

1. Learning problems

* Active learning

* Cost-sensitive Learning

* Ensemble methods

* Feature selection/extraction/construction

* Incremental learning and on-line learning

* Learning in graphs and networks

* Multi-agent learning

* Multi-instance learning

* Reinforcement learning

* Semi-supervised learning

* Supervised learning

* Classification, regression, ranking, structured, logical

* Transfer and multi-task learning

* Unsupervised learning

* Clustering, deep learning, latent variable models

* Other learning problems

2. Analysis of learning systems

* Computational learning theory

* Experimental evaluation methodology

* Others

3. Applications

* Bioinformatics

* Collaborative filtering

* Computer vision

* Information retrieval

* Mobile and pervasive computing

* Natural language processing

* Social networks

* Web search

* Other applications

4. Learning in knowledge-intensive systems

* Knowledge refinement and theory revision

* Multi-strategy learning

* Other systems

5. Other learning problems

Abstract and Paper Submission:

Electronic abstract and paper should be submitted through the

ACML 2011 submission site:

https://cmt.research.microsoft.com/ACML2011/Default.aspx

Papers should be written in English and formatted according to the JMLR

Workshop and Conference Proceedings format

(http://jmlr.csail.mit.edu/proceedings/). The maximum length of

papers is 16 pages in this format. Overlength submissions or submissions

without appropriate format will be rejected without review. 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 (this is not equivalent to a regular issue of JMLR) at

http://jmlr.csail.mit.edu/proceedings/

Papers submitted to this conference must not have been published, accepted

for publication or be under review for another conference or journal.

Novelty is an important criterion in the selection of papers.

To encourage interdisciplinary contributions, ACML will welcome papers

that address applications of machine learning in other areas.

For these application papers, the novelty will be judged based on the

applications of machine learning methods. These papers will be

evaluated differently for the algorithmic papers. Authors of these

papers should choose "Applications" as the primary topic.

Submitting a paper to ACML 2011 means that if the paper is accepted,

at least one author will attend the conference to present the paper. All

papers must be submitted electronically in PDF format only,

before the deadline through the submission system. More information,

including detailed author instruction, is available at:

http://acml2011.wikispaces.com/Call+for+Papers

For questions and suggestions on paper submission, write to:

acml2011.ncugmail.com

Organizers

General Co-Chairs

* Chih-Jen Lin (National Taiwan University, Taiwan)

* Qiang Yang (Hong Kong University of Science and Technology, Hong Kong)

Program Co-Chairs

* Chun-Nan Hsu (Academia Sinica & University of Southern California)

* Wee Sun Lee (National University of Singapore)

Local Arrangement Chair

* Chia-Hui Chang (National Central University, Taiwan)

ACML Steering Committee

* Tom Detterich (Oregon State University, USA)

* Tu Bao Ho (JAIST, Japan)

* Hiroshi Motoda, Chair (Osaka University, 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, Co-Chair (Nanjin University, China)

Senior Program Committee

* Wray Buntine (Australian ICT, Australia)

* Edward Chang (Google Research China, China)

* Chris Ding (University of Texas, USA)

* Wei Fan (IBM T.J.Watson Research, USA)

* Xiaofei He (Zhejiang University, China)

* Steven Hoi (Nanyang Technological University, Singapore)

* Aapo Hyvarinen (Helsinki Institute for Information Technology,

Finland)

* Kenji Fukumizu (Institute of Statistical Mathematics, Japan)

* Irwin King, (Chinese University of Hong Kong, Hong Kong)

* Pavel Laskov (University of Tubingen, Germany)

* Ping Li (Cornell University, USA)

* Yoonkyun Lee (The Ohio State University, USA)

* Yuh-Jye Lee (National Taiwan University of Science and Technology, Taiwan)

* Klaus-Robert Müller (Technical University Berlin, Germany)

* Bernhard Pfahringer (University of Waikato, New Zealand)

* Fei Sha (University of Southern California, USA)

* Shirish Shevade (Indian Institute of Science, India)

* Ivor Tsang (Nanyang Technological University, Singapore)

* S. V. N. Vishwanathan (Purdue University, USA)

* Jieping Ye (Arizona State University, USA)

* Kai Yu (NEC Laboratories America, USA)

* Denny Zhou (Micorsoft Research, USA)

* Xiaojin Jerry Zhu (University of Wisconsin-Madison, USA)