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- W2116710345 abstract "Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyper plane. We propose an extension for linearly non-separable datasets that allows a direct trade-off between the number of misclassified data points and the number of dimensions. Results on toy examples as well as real-world datasets demonstrate that this method is able to identify relevant features very effectively." @default.
- W2116710345 created "2016-06-24" @default.
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- W2116710345 date "2010-12-01" @default.
- W2116710345 modified "2023-09-23" @default.
- W2116710345 title "A New Approach to Classification with the Least Number of Features" @default.
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- W2116710345 doi "https://doi.org/10.1109/icmla.2010.28" @default.
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