Progress in Artificial Intelligence[...
Clark Conference ((2005 :)

 

  • Progress in Artificial Intelligence[electronic resource] :17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015 : proceedings /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.31
    書名/作者: Progress in Artificial Intelligence : 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015 : proceedings // edited by Francisco Pereira ... [et al.].
    其他題名: ECML PKDD 2015
    其他作者: Pereira, Francisco.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xxvi, 811 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer Science.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Information Systems Applications (incl. Internet)
    標題: Simulation and Modeling.
    標題: Computer Imaging, Vision, Pattern Recognition and Graphics.
    標題: Data Mining and Knowledge Discovery.
    標題: Database Management.
    標題: Machine learning
    標題: Data mining
    ISBN: 9783319234854
    ISBN: 9783319234847
    摘要、提要註: This book constitutes the refereed proceedings of the 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, held in Coimbra, Portugal, in September 2015. The 45 revised full papers presented together with 36 revised short papers were carefully reviewed and selected from a total of 131 submissions. EPIA 2015, following the standard EPIA format, covers a wide range of AI topics as follows: ambient intelligence and affective environments, artificial Intelligence in medicine, artificial intelligence in transportation systems, artificial life and evolutionary algorithms, computational methods in bioinformatics and systems biology, general artificial intelligence, intelligent information systems, intelligent robotics, knowledge discovery and business intelligence, multi-agent systems: theory and applications, social simulation and modelling, text mining and applications.
    電子資源: http://dx.doi.org/10.1007/978-3-319-23485-4
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