Cross-validation

Results: 663



#Item
1Cross-Validation Mohammad Emtiyaz Khan EPFL Oct 6, 2015 ©Mohammad Emtiyaz Khan 2015

Cross-Validation Mohammad Emtiyaz Khan EPFL Oct 6, 2015 ©Mohammad Emtiyaz Khan 2015

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Source URL: emtiyaz.github.io

Language: English - Date: 2018-08-03 01:10:17
    2Journal of Machine Learning Research–1105 Submitted 05/03; Revised 9/03; Published 9/04 No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio

    Journal of Machine Learning Research–1105 Submitted 05/03; Revised 9/03; Published 9/04 No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio

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    Source URL: www.jmlr.org

    Language: English - Date: 2017-07-22 15:42:54
      3Pattern Classification And Machine Learning - EPFL - Fall 2015 Emtiyaz Khan, Timur Bagautdinov, Carlos Becker, Ilija Bogunovic & Ksenia Konyushkova 4. Cross-Validation and Bias-Variance decomposition 4.1

      Pattern Classification And Machine Learning - EPFL - Fall 2015 Emtiyaz Khan, Timur Bagautdinov, Carlos Becker, Ilija Bogunovic & Ksenia Konyushkova 4. Cross-Validation and Bias-Variance decomposition 4.1

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      Source URL: emtiyaz.github.io

      Language: English - Date: 2018-08-03 01:10:17
        4Skyllz Distributed Platform (SDP) is an open source, blockchain-based and cross-platform skills-validation protocol proposed by Workkola. It aims to build a universal and evolving Human Skills Ecosystem that by

        Skyllz Distributed Platform (SDP) is an open source, blockchain-based and cross-platform skills-validation protocol proposed by Workkola. It aims to build a universal and evolving Human Skills Ecosystem that by

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        Source URL: skyllz.org

        - Date: 2018-01-04 04:36:14
          5CCPA Precipitation Analysis: Data Set, Cross  Validation and Evaluation Dingchen Hou1, Yan Luo1 ,Yuejian Zhu1, Pingping Xie2, and Ying Lin1 Environmental Modeling Center/NCEP/NWS/NOAA 2 Climate Predi

          CCPA Precipitation Analysis: Data Set, Cross  Validation and Evaluation Dingchen Hou1, Yan Luo1 ,Yuejian Zhu1, Pingping Xie2, and Ying Lin1 Environmental Modeling Center/NCEP/NWS/NOAA 2 Climate Predi

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          Source URL: ftp.emc.ncep.noaa.gov

          - Date: 2011-01-17 17:31:56
            6Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function Yong Liu Shali Jiang Shizhong Liao

            Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function Yong Liu Shali Jiang Shizhong Liao

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            Source URL: jmlr.org

            - Date: 2014-02-16 19:30:21
              7On the Dangers of Cross-Validation. An Experimental Evaluation R. Bharat Rao IKM CKS Siemens Medical Solutions USA Glenn Fung IKM CKS Siemens Medical Solutions USA

              On the Dangers of Cross-Validation. An Experimental Evaluation R. Bharat Rao IKM CKS Siemens Medical Solutions USA Glenn Fung IKM CKS Siemens Medical Solutions USA

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              Source URL: people.csail.mit.edu

              - Date: 2008-01-22 15:56:36
                8Nonstationary Cross-Validation (preliminary first draft) Federico M. Bandi Valentina Corradi

                Nonstationary Cross-Validation (preliminary first draft) Federico M. Bandi Valentina Corradi

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                Source URL: www.cb.cityu.edu.hk

                - Date: 2016-07-07 23:48:13
                  9Patuxent Wildlife Research Center Implementing cross validation approaches for model selection and evaluating goodness of fit in complex hierarchical models The Challenge: Many critical wildlife surveys, such as the Nort

                  Patuxent Wildlife Research Center Implementing cross validation approaches for model selection and evaluating goodness of fit in complex hierarchical models The Challenge: Many critical wildlife surveys, such as the Nort

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                  Source URL: www.pwrc.usgs.gov

                  - Date: 2016-01-11 08:14:52
                    10Many learning tasks, such as cross-validation, parameter search, or leave-one-out analysis, involve multiple instances of similar problems, each instance sharing a large part of learning data with the others. We introduc

                    Many learning tasks, such as cross-validation, parameter search, or leave-one-out analysis, involve multiple instances of similar problems, each instance sharing a large part of learning data with the others. We introduc

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                    Source URL: mmds-data.org

                    - Date: 2016-06-23 15:50:48