A flexible non-monotonic discretization method for pre-processing in supervised learning-Reference-Cited by-同舟云学术

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A flexible non-monotonic discretization method for pre-processing in supervised learning

Published:2024-05 Issue: Volume:181 Page:77-85
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Şenozan Hatice,Soylu Banu

Funder

Council of Higher Education of the Republic of Turkey

Publisher

Elsevier BV

Reference28 articles.

1. Autism dataset. (last reached: March 2019)].

2. Monotonicity maintenance in information-theoretic machine learning algorithms;Ben-David;Mach. Learn.,1995

3. Application of the logistic function to bio-assay;Berkson;J. Am. Stat. Assoc.,1944

4. Breast cancer dataset. (last reached: March 2019).

5. Classification and regression trees–crc press;Breiman,1984

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