NTU method

Results: 19



#Item
1The Anti-Field-Descent Method Ka Hin Leung ∗ Department of Mathematics National University of Singapore Kent Ridge, SingaporeRepublic of Singapore

The Anti-Field-Descent Method Ka Hin Leung ∗ Department of Mathematics National University of Singapore Kent Ridge, SingaporeRepublic of Singapore

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Source URL: www.ntu.edu.sg

Language: English - Date: 2015-04-01 23:42:50
    2Performance Evaluation of CDMA-based Wireless Sensor Networks with Long-Thin Topologies Ming-Wei Hsu and Hsin-Mu Tsai Department of Computer Science and Information Engineering National Taiwan University, Taipei 10617, T

    Performance Evaluation of CDMA-based Wireless Sensor Networks with Long-Thin Topologies Ming-Wei Hsu and Hsin-Mu Tsai Department of Computer Science and Information Engineering National Taiwan University, Taipei 10617, T

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    Source URL: www.csie.ntu.edu.tw

    Language: English - Date: 2014-04-10 23:39:39
    3A Sequential Dual Method for Large Scale Multi-Class Linear SVMs S. Sathiya Keerthi S. Sundararajan

    A Sequential Dual Method for Large Scale Multi-Class Linear SVMs S. Sathiya Keerthi S. Sundararajan

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    Source URL: www.csie.ntu.edu.tw

    Language: English - Date: 2008-06-16 19:05:35
      4Conditional Variance Estimation in Heteroscedastic Regression Models Lu-Hung Chen1 , Ming-Yen Cheng2 and Liang Peng3 Abstract First, we propose a new method for estimating the conditional variance in heteroscedasticity r

      Conditional Variance Estimation in Heteroscedastic Regression Models Lu-Hung Chen1 , Ming-Yen Cheng2 and Liang Peng3 Abstract First, we propose a new method for estimating the conditional variance in heteroscedasticity r

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      Source URL: www.math.ntu.edu.tw

      Language: English - Date: 2010-10-02 23:38:00
        5Microsoft Word - Joule-Thomson.doc

        Microsoft Word - Joule-Thomson.doc

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        Source URL: www.crtech.com

        Language: English - Date: 2013-04-12 18:03:41
        6R Commander an introduction Natasha A. Karp  Jan 2014 Preface This material is intended as an introductory guide to data analysis with R Commander. It was

        R Commander an introduction Natasha A. Karp Jan 2014 Preface This material is intended as an introductory guide to data analysis with R Commander. It was

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        Source URL: cran.csie.ntu.edu.tw

        Language: English - Date: 2014-01-10 06:27:29
        7> help.start() > help.start() 	 > exp(-5) 	 > exp 	 [ 			 9 			 9

        > help.start() > help.start() > exp(-5) > exp [ 9 9

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        Source URL: cran.csie.ntu.edu.tw

        Language: English - Date: 2008-04-24 05:10:49
        8A (Not So) Short Introduction to S4 Object Oriented Programming in R V0.5.1 Christophe Genolini August 20, 2008

        A (Not So) Short Introduction to S4 Object Oriented Programming in R V0.5.1 Christophe Genolini August 20, 2008

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        Source URL: cran.csie.ntu.edu.tw

        Language: English - Date: 2008-08-20 09:09:33
        9Statistics Using R with Biological Examples Kim Seefeld, MS, M.Ed.* Ernst Linder, Ph.D.

        Statistics Using R with Biological Examples Kim Seefeld, MS, M.Ed.* Ernst Linder, Ph.D.

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        Source URL: cran.csie.ntu.edu.tw

        Language: English - Date: 2007-05-31 10:22:40
        10

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        Source URL: homepage.ntu.edu.tw

        Language: English - Date: 2014-05-30 04:20:42