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| − | {{Event
| + | A few years ago I'd have to pay somenoe for this information. |
| − | | Acronym = ACML 2009
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| − | | Title = The 1st Asian Conference on Machine Learning
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| − | | Type = Conference
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| − | | Series =
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| − | | Field = Machine learning
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| − | | Homepage = lamda.nju.edu.cn/conf/ACML09
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| − | | Start date = Nov 2, 2009
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| − | | End date = Nov 4, 2009
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| − | | City= Nanjing
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| − | | State =
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| − | | Country = China
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| − | | Abstract deadline =
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| − | | Submission deadline = Jun 15, 2009
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| − | | Notification =
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| − | | Camera ready = Aug 5, 2009
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| − | }}
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| − | | |
| − | <pre>
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| − | CALL FOR PAPERS
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| − | =================================================================================
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| − | | |
| − | The 1st Asian Conference on Machine Learning (ACML'09)
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| − | | |
| − | Nanjing, China, November 2-4, 2009
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| − | | |
| − | http://lamda.nju.edu.cn/conf/ACML09
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| − | | |
| − | =================================================================================
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| − | | |
| − | The 1st Asian Conference on Machine Learning (ACML'09) will be held in
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| − | November 2-4,
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| − | 2009, Nanjing, China. The conference aims at providing a leading
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| − | international forum
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| − | for researchers in Machine Learning and related fields to share their
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| − | new ideas and
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| − | achievements. Submissions from other than the Asia-Pacific regions are
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| − | also highly
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| − | encouraged.
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| − | | |
| − | | |
| − | Important dates:
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| − | ----------------
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| − | | |
| − | Full Paper submission: June 15 2009
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| − | Author notification: July 31 2009
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| − | Camera-Ready: August 5 2009
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| − | Conference: November 2-4 2009
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| − | | |
| − | | |
| − | Topics:
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| − | -------
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| − | | |
| − | The conference calls for papers that report high quality original
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| − | research results
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| − | on machine learning and related fields. The topics include but are not
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| − | limited to the
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| − | following:
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| − | | |
| − | * Active learning
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| − | * Bayesian learning
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| − | * Case-based reasoning
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| − | * Clustering
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| − | * Computational models of human learning
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| − | * Computational learning theory
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| − | * Constructive induction
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| − | * Cost-sensitive learning
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| − | * Decision trees
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| − | * Deep learning
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| − | * Dimensionality reduction
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| − | * Ensemble methods
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| − | * Evaluation of learning methods
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| − | * Feature selection/extraction/construction
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| − | * Incremental learning and on-line learning
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| − | * Inductive logic programming
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| − | * Information retrieval and learning
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| − | * Instance-based learning
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| − | * Kernel methods
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| − | * Knowledge refinement and theory revision
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| − | * Knowledge intensive learning
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| − | * Learning in computer vision
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| − | * Learning in natural language processing
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| − | * Learning to rank
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| − | * Learning with complex structures
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| − | * Meta learning
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| − | * Multi-agent learning
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| − | * Multi-instance learning
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| − | * Multi-strategy learning
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| − | * Multi-task learning
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| − | * Neural networks
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| − | * Regression
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| − | * Reinforcement learning
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| − | * Rule learning
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| − | * Statistical approaches
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| − | * Semi-supervised learning
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| − | * Transfer learning
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| − | * Unsupervised learning
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| − | * Web search and learning
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| − | | |
| − | | |
| − | Submission:
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| − | ----------------
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| − | | |
| − | The papers must be in English and MUST be formatted according to the
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| − | Springer-Verlag
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| − | LNCS/LNAI guidelines (available at http://www.springer.de/comp/lncs/authors.html).
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| − | The maximum length of papers including its coverpage is at most 15
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| − | pages in this
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| − | format. Overlength submissions or submissions without appropriate
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| − | format will be
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| − | rejected without review. All papers must be submitted electronically
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| − | in PDF format
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| − | only, using the conference management tool. Detailed instructions will
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| − | be available
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| − | at the conference website http://lamda.nju.edu.cn/conf/ACML09/submission.htm.
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| − | The submitted papers must not be published or under consideration to
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| − | be published elsewhere. Submissions will be rigorously reviewed by the
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| − | Program Committee. Accepted
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| − | submissions will be published in a volume of LNCS/LNAI.
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| − | | |
| − | | |
| − | Organization:
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| − | ----------------
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| − | | |
| − | General Chairs
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| − | * Hiroshi Motoda (AFOSR/AOARD and Osaka University, Japan)
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| − | * Jian Lu (Nanjing University, China)
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| − | | |
| − | Program Committee Chairs
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| − | * Zhi-Hua Zhou (Nanjing University, China)
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| − | * Takashi Washio (Osaka University, Japan)
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| − | | |
| − | Tutorial Chair
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| − | * Tu Bao Ho (JAIST, Japan)
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| − | | |
| − | Program Committee Area Chairs
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| − | * Sung-Bae Cho (Yonsei University, Korea)
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| − | * Eibe Frank (University of Waikato, New Zealand)
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| − | * Joao Gama (University of Porto, Portugal)
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| − | * Rong Jin (Michigan State University, USA)
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| − | * James Kwok (Hong Kong University of Science and Technology,
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| − | China)
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| − | * Hang Li (Microsoft Research Asia, China)
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| − | * Charles X. Ling (University of Western Ontario, Canada)
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| − | * Huan Liu (Arizona State University, USA)
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| − | * Yuji Matsumoto (NAIST, Japan)
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| − | * Katharina Morik (University of Dortmund, Germany)
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| − | * Bernhard Pfahringer (University of Waikato, New Zealand)
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| − | * Michele Sebag (CNRS, France)
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| − | * Masashi Sugiyama (Tokyo Institute of Technology, Japan)
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| − | * Kai Ming Ting (Monash University, Australia)
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| − | * Koji Tsuda (AIST, Japan)
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| − | * Limsoon Wong (National University of Singapore, Singapore)
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| − | * Qiang Yang (Hong Kong University of Science and Technology,
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| − | China)
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| − | * Changshui Zhang (Tsinghua University, China)
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| − | | |
| − | Local Arrangement Chairs
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| − | * Yang Gao (Nanjing University, China)
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| − | * Ming Li (Nanjing University, China)
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| − | | |
| − | Publicity Chair
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| − | * Yuhong Guo (Temple University, USA)
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| − | | |
| − | Publication Chair
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| − | * Min-Ling Zhang (Hohai University, China)
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| − | | |
| − | | |
| − | Organized by:
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| − | ----------------
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| − | Nanjing University (http://www.nju.edu.cn)
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| − | LAMDA Group (http://lamda.nju.edu.cn)
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| − | </pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=4914&copyownerid=3624 WikiCFP]
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