Machine learning

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281

A Course in Machine Learning Hal Daumé III 3 | T HE P ERCEPTRON

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Source URL: www.ciml.info

- Date: 2015-11-02 15:00:00
    282

    Deep Learning: Models for Sequence Data (RNN and LSTM) and Autoencoders Piyush Rai Machine Learning (CS771A) Nov 4, 2016

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    Source URL: cse.iitk.ac.in

    - Date: 2016-11-06 12:11:00
      283

      Journal of Machine Learning Research 1 (year) pages Submitted 4/00; PublishedLinear Thompson Sampling Revisited Marc Abeille

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      Source URL: ewrl.files.wordpress.com

      - Date: 2016-11-21 10:27:42
        284

        R in Machine Learning Foundations and Trends Vol. 8, No–357 c 2015 S. Bubeck

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        Source URL: research.microsoft.com

        - Date: 2015-11-12 13:42:19
          285

          Journal of Machine Learning ResearchSubmitted ; Published Exploration Potential Jan Leike

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          Source URL: ewrl.files.wordpress.com

          - Date: 2016-11-21 10:25:41
            286

            Learning from Imbalanced Data Piyush Rai Machine Learning (CS771A) Nov 5, 2016 Machine Learning (CS771A)

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            Source URL: cse.iitk.ac.in

            - Date: 2016-11-06 05:38:41
              287

              Journal of Machine Learning Research3251 Submitted 5/12; Revised 8/12; PublishedSally: A Tool for Embedding Strings in Vector Spaces Konrad Rieck

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              Source URL: filepool.informatik.uni-goettingen.de

              - Date: 2015-05-08 05:06:14
                288

                Introduction to Generative Models Piyush Rai Machine Learning (CS771A) Sept 23, 2016 Machine Learning (CS771A)

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                Source URL: cse.iitk.ac.in

                - Date: 2016-09-24 10:26:14
                  289

                  Beyond Bayesians and Frequentists Jacob Steinhardt October 31, 2012 If you are a newly initiated student into the field of machine learning, it won’t be long before you start hearing the words “Bayesian” and “fre

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                  Source URL: cs.stanford.edu

                  - Date: 2013-01-04 03:53:50
                    290

                    Journal of Machine Learning Research747 Submitted 10/12; Revised 6/13; Published 2/14 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello

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                    Source URL: jmlr.org

                    - Date: 2014-03-10 21:42:35
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