Sensitivity analysis of feature weighting for classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s10044-022-01077-0.pdf
Reference71 articles.
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3. Lee CH (2015) A gradient approach for value weighted classification learning in Naive Bayes. Knowl Based Syst 85:71–79. https://doi.org/10.1016/j.knosys.2015.04.020
4. Wettschereck D, Aha DW, Mohri T (1997) A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artif Intell Rev 11(1–5):273–314. https://doi.org/10.1023/A:1006593614256
5. Jiang L, Li C, Wang S, Zhang L (2016) Deep feature weighting for Naive Bayes and its application to text classification. Eng Appl Artif Intell 52:26–39. https://doi.org/10.1016/j.engappai.2016.02.002
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