Multinomial logistic regression

Results: 161



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1KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model Kamal Sarkar Department of Computer Science and Engineering Jadavpur University, Kolkata, India

KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model Kamal Sarkar Department of Computer Science and Engineering Jadavpur University, Kolkata, India

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Source URL: ceur-ws.org

- Date: 2016-11-18 14:11:21
    2Some Issues in Using PROC LOGISTIC for Binary Logistic Regression by David C. Schlotzhauer Contents

    Some Issues in Using PROC LOGISTIC for Binary Logistic Regression by David C. Schlotzhauer Contents

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    Source URL: www.ats.ucla.edu

    Language: English - Date: 2016-08-17 18:18:26
    3Let’s Put Garbage—Can Regressions and Garbage—Can Probits Where They Belong Christopher H. Achen Department of Politics Princeton University Princeton, NJ 08544

    Let’s Put Garbage—Can Regressions and Garbage—Can Probits Where They Belong Christopher H. Achen Department of Politics Princeton University Princeton, NJ 08544

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    Source URL: www.columbia.edu

    Language: English - Date: 2005-02-22 11:15:17
    4FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering

    FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering

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    Source URL: www.trendminer-project.eu

    Language: English - Date: 2014-05-02 17:17:44
    5January 21, 2011 8:45 WSPCAADA  S1793536910000574 Advances in Adaptive Data Analysis Vol. 2, No–462

    January 21, 2011 8:45 WSPCAADA S1793536910000574 Advances in Adaptive Data Analysis Vol. 2, No–462

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    Source URL: rcada.ncu.edu.tw

    Language: English - Date: 2011-02-08 04:22:40
    6Large-Scale Language Classification Writing a Detector for 200 Languages on Twitter Jordan Cazamias   Chinmayi Dixit

    Large-Scale Language Classification Writing a Detector for 200 Languages on Twitter Jordan Cazamias Chinmayi Dixit

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    Source URL: nlp.stanford.edu

    Language: English - Date: 2015-12-20 04:56:25
    7On the Relevance of Irrelevant Alternatives ∗ Austin R. Benson  Stanford University

    On the Relevance of Irrelevant Alternatives ∗ Austin R. Benson Stanford University

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    Source URL: stanford.edu

    Language: English - Date: 2016-02-02 15:50:14
    8Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson

    Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson

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    Source URL: www.large-scale-sports-analytics.org

    Language: English - Date: 2016-03-23 17:27:31
    9Discrete mixtures of GEV models  Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005

    Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005

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    Source URL: www.idep.eco.usi.ch

    Language: English - Date: 2012-01-04 14:50:59
    10Learning and making novel predictions about others’ preferences Natalia Vélez1, Yuan Chang Leong1, Chelsey Pan, Jamil Zaki, & Hyowon Gweon {nvelez, ycleong, chelspan, jzaki, gweon}@stanford.edu Department of Psycholog

    Learning and making novel predictions about others’ preferences Natalia Vélez1, Yuan Chang Leong1, Chelsey Pan, Jamil Zaki, & Hyowon Gweon {nvelez, ycleong, chelspan, jzaki, gweon}@stanford.edu Department of Psycholog

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    Source URL: sll.stanford.edu

    Language: English - Date: 2016-05-13 22:59:21