L-classifier chains classification and variable selection for multi-label datasets by Du Toit, Monika

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Regularised Gaussian belief propagation by Kamper, Francois

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Ensemble methods in multi-label classification by Muller, Annegret

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Clustering methods with a focus on self-organising maps and an implementation on retail bank transactional data by Enslin, Chrismarie

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Preconditioning for feature selection in classification by Pretorius, Jani

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Feature selection for multi-label classification by Contardo-Berning, Ivona E.

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A framework for estimating risk by Kroon, Rodney Stephen

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Label-dependent splitting for multi-label data by Muller, Annegret

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Variable selection for kernel methods with application to binary classification by Oosthuizen, Surette

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A comparison of support vector machines and traditional techniques for statistical regression and classification by Hechter, Trudie

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Influential data cases when the C-p criterion is used for variable selection in multiple linear regression by Uys, Daniel Wilhelm

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Multi-label feature selection with application to musical instrument recognition by Sandrock, Trudie

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Statistical classification procedures for analyisng functional data by Orsmond, Chane

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Improving the accuracy of prediction using singular spectrum analysis by incorporating internet activity by Badenhorst, Dirk Jakobus Pretorius

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