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      A study of the effect of different types of noise on the precision of supervised learning techniques

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      Artificial Intelligence Review
      Springer Nature

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          Instance-based learning algorithms

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            The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

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              Learning from noisy examples

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                Author and article information

                Journal
                Artificial Intelligence Review
                Artif Intell Rev
                Springer Nature
                0269-2821
                1573-7462
                April 2010
                January 27 2010
                : 33
                : 4
                : 275-306
                Article
                10.1007/s10462-010-9156-z
                356a40a2-10cb-4daa-9e09-4a20f9068a95
                © 2010
                History

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