Call for paper 〔OPEN〕

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Registration 〔OPEN〕

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〔CLOSED〕
Introduction
This year’s conference will focus on bringing together researchers and practitioners working in the field of theory and practice of computer learning, pattern recognition, inductive and transductive inference, graphical models, neural networks, and neuroscience. These topics are central now in Artificial Intelligence and communication between different groups of people involved in natural and computer learning has become crucial for further progress in AI. All papers submitted to this conference will be double blind peer reviewed, and acceptance will be based primarily on originality, significance, technical soundness, presentation, and references. The conference chair makes the final decision on the acceptance or rejection of the paper. AIA 2010 will be held in conjunction with the IASTED International Conferences on: · Modelling, Identification and Control (MIC 2010) · Parallel and Distributed Computing and Networks (PDCN 2010) · Software Engineering (SE 2010) · Signal Processing, Pattern Recognition, and Applications (SPPRA 2010) · Computer Graphics and Imaging (CGIM 2010) · Biomedical Engineering (BioMed 2010). 会议出版物及索引 所有会议录用论文将被收入由ACTA出版社出版的会议论文集, 此论文集将送交下列检索机构检索, 如: EI工程索引 剑桥科学文摘 会议录引文索引 卡尔斯鲁厄专业信息中心 物理学,电子技术及计算机控制技术情报服务中心 已出版的会议论文, 如进一步修订与完善, 将被选入与ACTA 出版社相关的国际期刊中发表。
Call for paper

Important date

2009-09-15
Draft paper submission deadline
2009-11-15
Final paper submission deadline

Submission Topics

征文范围及要求: 论文的题目包括, 但不限于: · Machine Learning · Pattern Recognition · Learning Theory · Inductive and Transductive Inference · Graphical Models · Model Selection · Knowledge Discovery · Intelligent Data Analysis ·
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Important Date
  • Conference Date

    Feb 15

    2010

    to

    Feb 17

    2010

  • Sep 15 2009

    Draft paper submission deadline

  • Nov 15 2009

    Final Paper Deadline

  • Feb 17 2010

    Registration deadline

Sponsored By
The International Association of Science and Technology for Development (IASTED)
Contact Information
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