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显示项目 11-21 / 21 (共1页)
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机构 日期 题名 作者
國立成功大學 2020-06 Antecedents of Employees' Goal Orientation and the Effects of Goal Orientation on E-Learning Outcomes: The Roles of Intra-Organizational Environment Li;Der-Chiang;Tsai;Ching-Yeh
國立成功大學 2020-06 An Empirical Study on the Learning Outcomes of E-Learning Measures in Taiwanese Small and Medium-Sized Enterprises (SMEs) Based on the Perspective of Goal Orientation Theory Li;Der-Chiang;Tsai;Ching-Yeh
國立成功大學 2020-01 An envelopment learning procedure for improving prediction accuracies of grey models Chen;Chien-Chih;Chang;Che-Jung;Zhuang;Zheng-Yun;Li;Der-Chiang
國立成功大學 2020 Defective Recognition with MTD-based Non-Equigap Grey Models Lin;San, Yao;Li;Der-Chiang;Chen;Chien-Chih;Chen;Hung-Yu
國立成功大學 2019-10 Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions Li;Der-Chiang;Shi;Qi-Shi;Chen;Hung-Yu
國立成功大學 2018-05-24 Learning from small datasets containing nominal attributes Li;Der-Chiang;Chen;Hung-Yu;Shi;Qi-Shi
國立成功大學 2018-04-19 An attribute extending method to improve learning performance for small datasets Lin;Liang-Sian;Li;Der-Chiang;Chen;Hung-Yu;Chiang;Yu-Chun
國立成功大學 2018-02 Aggregating predictions of multi-models for the small dataset learning tasks in the TFT-LCD process Li;Der-Chiang;Chen;Hung-Yu
國立成功大學 2018-01 Rebuilding sample distributions for small dataset learning Li;Der-Chiang;Lin;Wu-Kuo;Chen;Chien-Chih;Chen;Hung-Yu;Lin;Liang-Sian
國立成功大學 2018 Using an attribute conversion approach for sample generation to learn small data with highly uncertain features Li;Der-Chiang;Shi;Qi-Shi;Li;Ming-Da
國立成功大學 2017 The attribute-trend-similarity method to improve learning performance for small datasets Li;Der-Chiang;Lin;Wu-Kuo;Lin;Liang-Sian;Chen;Chien-Chih;Huang;Wen-Ting

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