Smøla

Results: 97



#Item
21Spectral Methods for the Hierarchical Dirichlet Process Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola Machine Learning Department Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213

Spectral Methods for the Hierarchical Dirichlet Process Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola Machine Learning Department Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213

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Source URL: manzil.ml

Language: English - Date: 2016-01-03 02:26:58
22Introduction to Machine Learning What you can use it for • pattern recognition (faces, digits, speech), • bioinformatics (gene finding, introns) • internet (spam filtering, search engines) • prediction (stock mar

Introduction to Machine Learning What you can use it for • pattern recognition (faces, digits, speech), • bioinformatics (gene finding, introns) • internet (spam filtering, search engines) • prediction (stock mar

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Source URL: alex.smola.org

Language: English - Date: 2013-09-09 02:28:41
    23A Counterexample A Candidate for a Kernel 0 k(x, x ) =

    A Counterexample A Candidate for a Kernel 0 k(x, x ) =

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    Source URL: alex.smola.org

    Language: English - Date: 2013-09-09 02:28:42
      24SISE 9128: Introduction to Machine Learning Alex Smola, RSISE ANU Problem Sheet — Week 1 The due date for these problems is Thursday, October 11  Teaching Period

      SISE 9128: Introduction to Machine Learning Alex Smola, RSISE ANU Problem Sheet — Week 1 The due date for these problems is Thursday, October 11 Teaching Period

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      Source URL: alex.smola.org

      Language: English - Date: 2013-09-09 02:28:40
        25Midterm Q&A Jin Sun Grade Distribution • Mean: 40.28 • Stdev: 11.58

        Midterm Q&A Jin Sun Grade Distribution • Mean: 40.28 • Stdev: 11.58

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        Source URL: alex.smola.org

        Language: English - Date: 2015-03-18 13:00:13
          26Learning Graph Matching Tib´erio S. Caetano, Li Cheng, Quoc V. Le and Alex J. Smola Statistical Machine Learning Program, NICTA and ANU Canberra ACT 0200, Australia Abstract As a fundamental problem in pattern recogniti

          Learning Graph Matching Tib´erio S. Caetano, Li Cheng, Quoc V. Le and Alex J. Smola Statistical Machine Learning Program, NICTA and ANU Canberra ACT 0200, Australia Abstract As a fundamental problem in pattern recogniti

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          Source URL: tiberiocaetano.com

          Language: English - Date: 2008-05-10 06:37:14
            27Final Review  Topics we covered Machine Learning Graphical Models

            Final Review Topics we covered Machine Learning Graphical Models

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            Source URL: alex.smola.org

            Language: English - Date: 2015-04-30 21:00:10
              28Fast Incremental Method for Nonconvex Optimization Sashank J. Reddi, Suvrit Sra, Barnab´as P´oczos, Alex Smola Abstract— We analyze a fast incremental aggregated gradient method for optimizing nonconvex problems of t

              Fast Incremental Method for Nonconvex Optimization Sashank J. Reddi, Suvrit Sra, Barnab´as P´oczos, Alex Smola Abstract— We analyze a fast incremental aggregated gradient method for optimizing nonconvex problems of t

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              Source URL: suvrit.de

              Language: English - Date: 2016-03-19 19:42:54
                29An Introduction to Machine Learning L5: Novelty Detection and Regression Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia

                An Introduction to Machine Learning L5: Novelty Detection and Regression Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia

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                Source URL: alex.smola.org

                Language: English - Date: 2013-09-09 02:28:38
                  30Overview Linear and Nonlinear Functions Function Classes, Feature Extraction, Dot Products Polynomial Kernels Features, Explicit Representation Radial Basis Function Kernels

                  Overview Linear and Nonlinear Functions Function Classes, Feature Extraction, Dot Products Polynomial Kernels Features, Explicit Representation Radial Basis Function Kernels

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                  Source URL: alex.smola.org

                  Language: English - Date: 2013-09-09 02:28:41