Carnegie Learning

Results: 541



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91

Interpretable Semantic Vectors from a Joint Model of Brain- and TextBased Meaning Alona Fyshe1 , Partha P. Talukdar1 , Brian Murphy2 , Tom M. Mitchell1 1 Machine Learning Department, Carnegie Mellon University 2 School o

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Source URL: talukdar.net

Language: English - Date: 2014-05-16 18:51:20
    92

    Improving Learning and Inference in a Large Knowledge-base using Latent Syntactic Cues Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, and Tom Mitchell Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 152

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    Source URL: talukdar.net

    Language: English - Date: 2013-09-16 16:15:38
      93

      Chapter 14 in "Online Algorithms: the state of the art", Fiat and Woeginger eds., LNCS #1442, On-Line Algorithms in Machine Learning Avrim Blum Carnegie Mellon University, Pittsburgh PAEmail: .

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      Source URL: www.cs.cmu.edu

      Language: English - Date: 2007-01-18 12:14:47
        94

        Aligning context-based statistical models of language with brain activity during reading Leila Wehbe1,2 , Ashish Vaswani3 , Kevin Knight3 and Tom Mitchell1,2 1 Machine Learning Department, Carnegie Mellon University, Pit

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        Source URL: www.aclweb.org

        Language: English - Date: 2014-10-20 22:47:27
          95Algebra / Linguistics / Parts of speech / Mathematics / Syntactic categories / Grammar / Semantics / Natural language processing / Latent semantic analysis / Noun phrase / Phrase / Singular value decomposition

          A Compositional and Interpretable Semantic Space Alona Fyshe,1 Leila Wehbe,1 Partha Talukdar,2 Brian Murphy,3 and Tom Mitchell1 1 Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA 2 Indian Institut

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          Source URL: talukdar.net

          Language: English - Date: 2015-06-16 07:03:06
          96

          The Benefits of Interaction for Learning Sequential Predictions Stephane Ross Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213

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          Source URL: snowbird.djvuzone.org

          Language: English - Date: 2012-02-14 16:49:01
            97

            Distributed Machine Learning Maria-Florina Balcan Carnegie Mellon University Distributed Machine Learning Modern applications: m a s s i v e a m o u n t s of data

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            Source URL: grigory.us

            Language: English - Date: 2016-02-28 01:13:54
              98Cognitive science / Cognition / Neuroscience / Psychology / Perception / Cognitive psychology / Neuropsychology / Visual search / Perceptual learning / Psychophysics / C1 and P1 / Intertrial priming

              Reuniting Categories, Language, and Perception Gary Lupyan () Department of Psychology, Carnegie Mellon University Center for the Neural Basis of Cognition Pittsburgh, PAUSA Abstract

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              Source URL: sapir.psych.wisc.edu

              Language: English - Date: 2011-08-28 01:00:30
              99

              Learning to Tag from Open Vocabulary Labels Edith Law, Burr Settles, and Tom Mitchell Machine Learning Department Carnegie Mellon University {elaw,bsettles,tom.mitchell}@cs.cmu.edu

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              Source URL: burrsettles.com

              Language: English - Date: 2014-03-12 18:30:21
                100Education / Educational psychology / Vincent Aleven / Intelligent tutoring system / Tutor / Cognitive tutor / Educational technology / Human-Computer Interaction Institute / Causality / Active learning

                Using Tutors to Improve Educational Games Matthew W. Easterday, Vincent Aleven, Richard Scheines, and Sharon M. Carver Human-Computer Interaction Institute, Carnegie Mellon University Abstract. Educational games and tuto

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                Source URL: delta.northwestern.edu

                Language: English - Date: 2013-11-19 23:55:24
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