Supervised learning

Results: 1557



#Item
1Machine learning / Semi-supervised learning / Labeled data / Supervised learning

Estimating the strength of unlabeled information during semi-supervised learning Brenden M. Lake () Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology James L. McClelland (m

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Source URL: cims.nyu.edu

Language: English - Date: 2011-05-20 18:34:42
2Machine learning / Learning / Artificial intelligence / Meta learning / Support vector machine / Supervised learning / Training /  test /  and validation sets

Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang 1 Chenglong Wang 2 Rishabh Singh 3 * Wen-tau Yih 4 Xiaodong He 5 * 1. Introduction Conventional supervised training is a pervasive paradigm

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Source URL: uclmr.github.io

Language: English - Date: 2018-08-06 06:17:49
3

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Semi-Supervised Transfer Learning Using Marginal Predictors Deshmukh, A.; Laftchiev, E.

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Source URL: www.merl.com

Language: English - Date: 2018-07-03 10:48:57
    4

    Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning Dan Garrette Chris Dyer Jason Baldridge

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    Source URL: www.dhgarrette.com

    - Date: 2018-08-10 17:39:37
      5

      Online Semi-Supervised Learning on Quantized Graphs Michal Valko Branislav Kveton Computer Science Department Intel Labs

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      Source URL: www.bkveton.com

      Language: English - Date: 2018-07-29 15:59:52
        6

        Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1

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        Source URL: ankitbpatel715.files.wordpress.com

        Language: English - Date: 2016-12-06 13:43:44
          7

          A Supertag-Context Model for Weakly-Supervised CCG Parser Learning Dan Garrette∗ Chris Dyer†

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          Source URL: www.dhgarrette.com

          Language: English - Date: 2018-08-10 17:39:38
            8

            A human motion feature based on semi-supervised learning of GMM

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            Source URL: eprints.bournemouth.ac.uk

            Language: English - Date: 2017-03-20 11:33:46
              9

              A Deep Probabilistic Framework for Heterogeneous Self-Supervised Learning of Affordances Atabak Dehban1,2 , Lorenzo Jamone3,1 , Adam R. Kampff4 and Jos´e Santos-Victor1 Abstract— The perception of affordances provides

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              Source URL: vislab.isr.ist.utl.pt

              Language: English - Date: 2017-11-21 04:58:34
                10

                1 CS229 Problem Set #1 CS 229, Fall 2017 Problem Set #1: Supervised Learning

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                Source URL: cs229.stanford.edu

                Language: English - Date: 2017-10-07 20:42:50
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