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- W1487281231 abstract "This paper describes a Nearest Neighbour procedure for variable selection in function approximation, pattern classification, and time series prediction. Given a training set of input/output vector pairs the procedure identifies a subset of input vector components that effectively capture the input-output relationship implicit in the training set. The utility of this procedure is demonstrated with numerous data sets from the UCI repository of machine learning databases and the Mackey-Glass time series prediction. A comprehensive set of benchmark problems is used to demonstrate comparable performance to that of much more complex boosted C4.5 decision trees." @default.
- W1487281231 created "2016-06-24" @default.
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- W1487281231 date "2001-01-01" @default.
- W1487281231 modified "2023-09-27" @default.
- W1487281231 title "Boosting the Performance of Nearest Neighbour Methods with Feature Selection" @default.
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- W1487281231 doi "https://doi.org/10.1007/3-540-45357-1_25" @default.
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