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A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes

  • Published:2024-05 Issue: Volume:149 Page:110236
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Wang Shihe,Ren JianfengORCID,Bai Ruibin,Yao Yuan,Jiang Xudong

Funder

National Natural Science Foundation of China

Ningbo Science and Technology Bureau

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. Revisiting deep learning models for tabular data;Gorishniy;Adv. Neural Inf. Process. Syst.,2021

2. Applications of machine learning in drug discovery and development;Vamathevan;Nat. Rev. Drug Discov.,2019

3. Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy;Shaban;Pattern Recognit.,2021

4. A linear multivariate binary decision tree classifier based on K-means splitting;Wang;Pattern Recognit.,2020

5. A parallel fuzzy rule-base based decision tree in the framework of map-reduce;Mu;Pattern Recognit.,2020

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1. Multidimensional Perspective to Data Preprocessing for Model Cognition Verity;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-05-14

2. Design of AE solutions for interval control systems;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

3. Prediction-Based Analysis of Diesel Prices Using Naïve Bayes Classifier Model;Lecture Notes in Networks and Systems;2024
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