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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/74370
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/74370

    Title: Analysis of Nonstationary Time Series Using Support Vector Machines
    Authors: Weng, Ruby C.;Lin, Chih-jen;Chang, Ming-wei
    Contributors: 統計系
    Date: 2002
    Issue Date: 2015-04-07 17:02:07 (UTC+8)
    Abstract: Time series from alternating dynamics have many important applications. In [5], the authors propose an approach to solve the drifting dynamics. Their method directly solves a non-convex optimization problem. In this paper, we propose a strategy which solves a sequence of convex optimization problems by using modified support vector regression. Experimental results showing its practical viability are presented and we also discuss the advantages and disadvantages of the proposed approach.
    Relation: Pattern Recognition with Support Vector Machines Lecture Notes in Computer Science Volume 2388, 2002, pp 160-170
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/3-540-45665-1_13
    DOI: 10.1007/3-540-45665-1_13
    Appears in Collections:[統計學系] 期刊論文

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