Binary classification

Results: 304



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1Proceedings of Machine Learning Research 81:1–12, 2018 Conference on Fairness, Accountability, and Transparency The Cost of Fairness in Binary Classification Aditya Krishna Menon

Proceedings of Machine Learning Research 81:1–12, 2018 Conference on Fairness, Accountability, and Transparency The Cost of Fairness in Binary Classification Aditya Krishna Menon

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Source URL: proceedings.mlr.press

Language: English - Date: 2018-07-16 18:43:08
    2The Cost of Fairness in Binary Classification Supplementary material for “The Cost of Fairness in Binary Classification” Appendix A. Proofs of results in main body Proof [Proof of Lemma 1] By definition,

    The Cost of Fairness in Binary Classification Supplementary material for “The Cost of Fairness in Binary Classification” Appendix A. Proofs of results in main body Proof [Proof of Lemma 1] By definition,

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    Source URL: proceedings.mlr.press

    Language: English - Date: 2018-07-16 18:43:08
      3Binary classification Learning by classifier combination: boosting n 

      Binary classification Learning by classifier combination: boosting n 

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      Source URL: ahistace.chez-alice.fr

      Language: English - Date: 2012-01-31 14:42:44
        4A Binary Classification Approach for Automatic Preference Modeling of Virtual Agents in Civilization IV Marlos C. Machado, Gisele L. Pappa and Luiz Chaimowicz Abstract—Player Modeling tries to model players behaviors a

        A Binary Classification Approach for Automatic Preference Modeling of Virtual Agents in Civilization IV Marlos C. Machado, Gisele L. Pappa and Luiz Chaimowicz Abstract—Player Modeling tries to model players behaviors a

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        Source URL: homepages.dcc.ufmg.br

        Language: English - Date: 2017-01-24 13:04:39
          5ECE 901 Lecture 5: Plug-in Rules and the Histogram Classifier R. NowakWe return to the topic of classification, and we assume an input (feature) space X and a binary output (label) space Y = {0, 1}. Recall tha

          ECE 901 Lecture 5: Plug-in Rules and the Histogram Classifier R. NowakWe return to the topic of classification, and we assume an input (feature) space X and a binary output (label) space Y = {0, 1}. Recall tha

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          Source URL: nowak.ece.wisc.edu

          Language: English - Date: 2012-03-09 07:34:15
            6Penalizing Unfairness in Binary Classification Yahav Bechavod 1 Katrina Ligett 1 arXiv:1707.00044v3 [cs.LG] 8 Mar 2018

            Penalizing Unfairness in Binary Classification Yahav Bechavod 1 Katrina Ligett 1 arXiv:1707.00044v3 [cs.LG] 8 Mar 2018

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            Source URL: arxiv.org

            - Date: 2018-03-08 20:54:46
              7Ordinal Regression by Extended Binary Classification Hsuan-Tien Lin Learning Systems Group California Institute of Technology

              Ordinal Regression by Extended Binary Classification Hsuan-Tien Lin Learning Systems Group California Institute of Technology

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              Source URL: machinelearning.wustl.edu

              - Date: 2013-03-25 13:59:10
                8arXiv:1603.05279v4 [cs.CV] 2 AugXNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

                arXiv:1603.05279v4 [cs.CV] 2 AugXNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

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                Source URL: pdfs.semanticscholar.org

                - Date: 2016-08-09 06:54:00
                  9Journal of Machine Learning Research2078 Submitted 8/07; Revised 4/08; PublishedApproximations for Binary Gaussian Process Classification Hannes Nickisch

                  Journal of Machine Learning Research2078 Submitted 8/07; Revised 4/08; PublishedApproximations for Binary Gaussian Process Classification Hannes Nickisch

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                  Source URL: jmlr.csail.mit.edu

                  - Date: 2008-10-08 18:55:09
                    10Journal of Machine Learning Research–1704 Submitted 8/05; PublishedAssessing Approximate Inference for Binary Gaussian Process Classification

                    Journal of Machine Learning Research–1704 Submitted 8/05; PublishedAssessing Approximate Inference for Binary Gaussian Process Classification

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                    Source URL: www.jmlr.org

                    - Date: 2005-10-02 10:31:59