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Titlebook: Advances in Knowledge Discovery and Data Mining; 12th Pacific-Asia Co Takashi Washio,Einoshin Suzuki,Akihiro Inokuchi Conference proceeding

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Feature Construction Based on Closedness Properties Is Not That Simple
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Privacy-Preserving Linear Fisher Discriminant Analysis978-3-8349-3608-0
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Generation of Globally Relevant Continuous Features for Classification978-3-322-82453-0
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https://doi.org/10.1007/978-3-319-65804-9bootstrapping of multiple classes, which can dramatically improve the quality of the seeds obtained at each iteration and hence increase the quality of the final learning results. Our experiments show beneficial results.
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A 29 Year Old Man with Patchy Hair Loss, unique properties of spatial data, such as spatial autocorrelation. As a result, they often fail to provide a proper initialization for NEM to find a good solution in practice. To that end, this paper presents a variant of NEM, called ANEMI, which exploits an adaptive spatial coefficient determined
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