Support vector machine

Results: 2011



#Item
261

Machine Learning Techniques (機器學習技法) Lecture 2: Dual Support Vector Machine Hsuan-Tien Lin (林軒田)

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

Language: English - Date: 2015-05-12 01:37:10
    262Regression analysis / Statistical classification / Econometrics / Independence / Machine learning / Linear discriminant analysis / Feature selection / Linear regression / Correlation and dependence / Coefficient of determination / Pattern recognition / Support vector machine

    Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector

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    Source URL: www.bitstoenergy.ch

    Language: English - Date: 2016-02-01 14:16:12
    263Artificial intelligence / Machine learning / Philosophy / Conference on Computer Vision and Pattern Recognition / Image segmentation / Market segmentation / Activity recognition / Marketing / Reinforcement learning / Causality / Support vector machine

    Generating Notifications for Missing Actions: Don’t forget to turn the lights off! Bilge Soran*, Ali Farhadi*† , Linda Shapiro* † *University of Washington

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    Source URL: ai2-website.s3.amazonaws.com

    Language: English - Date: 2016-05-10 13:04:35
    264Statistics / Mathematical analysis / Mathematics / Statistical classification / Functional analysis / Linear algebra / Numerical linear algebra / Support vector machine / Kernel method / Kernel / Normal distribution / Matrix

    Support vector machines, data reduction, and approximate kernel matrices XuanLong Nguyen1 , Ling Huang2 , and Anthony D. Joseph3 1 SAMSI & Duke University,

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    Source URL: dept.stat.lsa.umich.edu

    Language: English - Date: 2008-06-14 18:57:20
    265Statistical classification / Geostatistics / Kernel method / Support vector machine / Positive-definite kernel / Polynomial kernel / Kernel / Sensor / Kernel perceptron / 3D sound localization

    A Kernel-Based Learning Approach to Ad Hoc Sensor Network Localization XUANLONG NGUYEN, MICHAEL I. JORDAN, and BRUNO SINOPOLI University of California, Berkeley We show that the coarse-grained and fine-grained localizat

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    Source URL: dept.stat.lsa.umich.edu

    Language: English - Date: 2005-11-14 01:57:46
    266

    CS269: Machine Learning Theory Lecture 15: Support Vector Machines November 15, 2010 Lecturer: Jennifer Wortman Vaughan Scribes: Nikhilesh Tadiparthi, Sritulasi Edpuganti, Karthika Mohan In today’s lecture we will begi

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    Source URL: www.jennwv.com

    Language: English - Date: 2013-08-25 22:35:26
      267Machine learning / Statistical classification / Food and drink / Learning / Artificial intelligence / Hawaiian cuisine / Poi / Semi-supervised learning / Supervised learning / Support vector machine / Binary classification

      Verification of POI and Location Pairs via Weakly Labeled Web Data Hsiu-Min Chuang Chia-Hui Chang

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      Source URL: www.www2015.it

      Language: English - Date: 2015-05-15 11:14:59
      268

      CS269: Machine Learning Theory Lecture 16: SVMs and Kernels November 17, 2010 Lecturer: Jennifer Wortman Vaughan Scribe: Jason Au, Ling Fang, Kwanho Lee Today, we will continue on the topic of support vector machines, fi

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      Source URL: www.jennwv.com

      Language: English - Date: 2013-08-25 22:35:26
        269Machine learning / Cognition / Applied mathematics / Cognitive science / Deep learning / Semi-supervised learning / Supervised learning / Feature learning / Artificial neural network / Support vector machine / Deep belief network / Autoencoder

        Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

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        Source URL: www.anthology.aclweb.org

        Language: English - Date: 2015-09-09 11:04:44
        270

        Optimization, Support Vector Machines, and Machine Learning Chih-Jen Lin Department of Computer Science National Taiwan University

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

        Language: English - Date: 2005-10-18 10:47:06
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