.ml

Results: 4856



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291CakeML: A Verified Implementation of ML Ramana Kumar ∗ 1 Magnus O. Myreen † 1 1

CakeML: A Verified Implementation of ML Ramana Kumar ∗ 1 Magnus O. Myreen † 1 1

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Source URL: cakeml.org

- Date: 2013-11-13 08:58:33
    292Under review as a conference paper at ICLRarXiv:1606.00704v2 [stat.ML] 13 Dec 2016 A DVERSARIALLY L EARNED I NFERENCE Vincent Dumoulin1 , Ishmael Belghazi1 , Ben Poole2

    Under review as a conference paper at ICLRarXiv:1606.00704v2 [stat.ML] 13 Dec 2016 A DVERSARIALLY L EARNED I NFERENCE Vincent Dumoulin1 , Ishmael Belghazi1 , Ben Poole2

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    Source URL: arxiv.org

    - Date: 2016-12-13 20:42:17
      293Introduction to ML Mooly Sagiv Cornell CS 3110 Data Structures and Functional Programming The ML Programming Language

      Introduction to ML Mooly Sagiv Cornell CS 3110 Data Structures and Functional Programming The ML Programming Language

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      Source URL: www.cs.tau.ac.il

      - Date: 2015-05-05 04:40:37
        294arXiv:1603.05106v2 [stat.ML] 25 MayOne-Shot Generalization in Deep Generative Models Danilo J. Rezende* Shakir Mohamed*

        arXiv:1603.05106v2 [stat.ML] 25 MayOne-Shot Generalization in Deep Generative Models Danilo J. Rezende* Shakir Mohamed*

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        Source URL: arxiv.org

        - Date: 2016-05-25 20:24:30
          295Chapter 1 Introduction “All models are wrong, but yours are stupid too.” @ML_HipsterPrediction, extrapolation, and induction are all examples of learning a function from data. There are many ways to learn fun

          Chapter 1 Introduction “All models are wrong, but yours are stupid too.” @ML_HipsterPrediction, extrapolation, and induction are all examples of learning a function from data. There are many ways to learn fun

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          Source URL: raw.githubusercontent.com

            296Introduction to ML Mooly Sagiv Cornell CS 3110 Data Structures and Functional Programming Typed Lambda Calculus

            Introduction to ML Mooly Sagiv Cornell CS 3110 Data Structures and Functional Programming Typed Lambda Calculus

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            Source URL: www.cs.tau.ac.il

            - Date: 2016-12-09 12:39:44
              297On-Demand Malware Detection Certification On-Demand Malware Detection Certification Product: CrowdStrike Falcon (ML) Certification date: 28 July 2016

              On-Demand Malware Detection Certification On-Demand Malware Detection Certification Product: CrowdStrike Falcon (ML) Certification date: 28 July 2016

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              Source URL: selabs.uk

                298Ten Steps of EM Suffice for Mixtures of Two Gaussians arXiv:1609.00368v2 [stat.ML] 15 Sep 2016 Constantinos Daskalakis EECS and CSAIL, MIT

                Ten Steps of EM Suffice for Mixtures of Two Gaussians arXiv:1609.00368v2 [stat.ML] 15 Sep 2016 Constantinos Daskalakis EECS and CSAIL, MIT

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                Source URL: arxiv.org

                - Date: 2016-09-15 20:19:19
                  299从免疫血清纯化抗体 1． 剪取一小条 0.45 μm 的硝酸纤维膜，置于 1.5ml eppendorf 管中，浸没于 1 ml 1 mg/ml 的抗原溶液中，5 min。 2． 取出膜，置于滤纸上干燥。 3． 将膜放

                  从免疫血清纯化抗体 1． 剪取一小条 0.45 μm 的硝酸纤维膜，置于 1.5ml eppendorf 管中，浸没于 1 ml 1 mg/ml 的抗原溶液中，5 min。 2． 取出膜，置于滤纸上干燥。 3． 将膜放

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                  Source URL: hanlab.xmu.edu.cn

                  - Date: 2007-12-16 02:22:06
                    300IR Top, Investor Relations Consulting RASSEGNA STAMPA ON-LINE 30 luglio 2015 IR TOP: DALL’AIM ITALIA EURO 544 ML DI RACCOLTA COMPLESSIVA DA IPO E OLTREPOSTI DI LAVORO;

                    IR Top, Investor Relations Consulting RASSEGNA STAMPA ON-LINE 30 luglio 2015 IR TOP: DALL’AIM ITALIA EURO 544 ML DI RACCOLTA COMPLESSIVA DA IPO E OLTREPOSTI DI LAVORO;

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                    Source URL: aimnews.it

                    - Date: 2015-08-04 02:29:53