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- W2848789898 abstract "A new algorithm based on learning vector quantisation classifier is presented based on a modified proximity-measure, which enforces a predetermined correct classification level in training while using sliding-mode approach for stable variation in weight updates towards convergence. The proposed algorithm and some well-known counterparts are implemented by using Python libraries and compared in a task of text classification for document categorisation. Results reveal that the new classifier is a successful contender to those algorithms in terms of testing and training performances." @default.
- W2848789898 created "2018-07-19" @default.
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- W2848789898 date "2018-08-01" @default.
- W2848789898 modified "2023-10-17" @default.
- W2848789898 title "High‐accuracy document classification with a new algorithm" @default.
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- W2848789898 doi "https://doi.org/10.1049/el.2018.0790" @default.
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