Dimensionality reduction

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1Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 2 The SVD and applications Instructor: Sham Kakade

Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 2 The SVD and applications Instructor: Sham Kakade

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Source URL: stat.wharton.upenn.edu

Language: English - Date: 2010-01-22 00:50:27
    2Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 1 The Singular Value Decomposition Instructor: Sham Kakade

    Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 1 The Singular Value Decomposition Instructor: Sham Kakade

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    Source URL: stat.wharton.upenn.edu

    Language: English - Date: 2010-01-22 00:50:27
      3High Precision Screening for Android Malware with Dimensionality Reduction Britton Wolfe Information Analytics and Visualization Center, Indiana Univ.-Purdue Univ. Fort Wayne (IPFW), 2101 E. Coliseum Blvd., Fort Wayne, I

      High Precision Screening for Android Malware with Dimensionality Reduction Britton Wolfe Information Analytics and Visualization Center, Indiana Univ.-Purdue Univ. Fort Wayne (IPFW), 2101 E. Coliseum Blvd., Fort Wayne, I

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      Source URL: people.cs.vt.edu

      Language: English - Date: 2014-09-17 10:52:50
        4Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 19 Spectral Methods for Learning Vector State-Space Models Instructor: Sham Kakade

        Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 19 Spectral Methods for Learning Vector State-Space Models Instructor: Sham Kakade

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        Source URL: stat.wharton.upenn.edu

        Language: English - Date: 2010-04-05 20:45:32
          5CMSCSpringLarge Scale Learning  Lecture: 4 Dimensionality Reduction and Learning, continued Instructors: Sham Kakade and Greg Shakhnarovich

          CMSCSpringLarge Scale Learning Lecture: 4 Dimensionality Reduction and Learning, continued Instructors: Sham Kakade and Greg Shakhnarovich

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          Source URL: ttic.uchicago.edu

          Language: English - Date: 2009-04-14 01:08:37
            6CMSCSpringLarge Scale Learning  Lecture: 1 Dimensionality Reduction Instructors: Sham Kakade and Greg Shakhnarovich

            CMSCSpringLarge Scale Learning Lecture: 1 Dimensionality Reduction Instructors: Sham Kakade and Greg Shakhnarovich

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            Source URL: ttic.uchicago.edu

            Language: English - Date: 2009-04-03 10:40:41
              7Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 9 Clustering; Single Linkage; and Pairwise Distance Concentration Instructor: Sham Kakade

              Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 9 Clustering; Single Linkage; and Pairwise Distance Concentration Instructor: Sham Kakade

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              Source URL: stat.wharton.upenn.edu

              Language: English - Date: 2010-03-01 21:26:42
                8Journal of Machine Learning Research490  Submitted 4/09; Revised 12/09; Published 2/10 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization

                Journal of Machine Learning Research490 Submitted 4/09; Revised 12/09; Published 2/10 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization

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                Source URL: jmlr.csail.mit.edu

                Language: English - Date: 2017-07-22 15:40:19
                  9Distributed Spectral Dimensionality Reduction for Visualizing Textual Data Sanjay Krishnan Electrical Engineering and Computer Sciences University of California-Berkeley

                  Distributed Spectral Dimensionality Reduction for Visualizing Textual Data Sanjay Krishnan Electrical Engineering and Computer Sciences University of California-Berkeley

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                  Source URL: goldberg.berkeley.edu

                  Language: English - Date: 2013-04-30 13:16:34
                    10Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

                    Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

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                    Source URL: stat.wharton.upenn.edu

                    Language: English - Date: 2010-02-16 23:17:29