A Hybrid Classification Technique using Belief Rule Based Semi-Supervised Learning
Author:
Affiliation:
1. International Islamic University,Department of Computer Science & Engineering,Chittagong,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054512/10054643/10055390.pdf?arnumber=10055390
Reference24 articles.
1. Surface defect classification of steels with a new semi-supervised learning method
2. Belief rule-base inference methodology using the evidential reasoning Approach-RIMER
3. An Ensemble-Based Semi-Supervised Approach for Predicting Students’ Performance
4. Birth Mode Prediction Using Bagging Ensemble Classifier: A Case Study of Bangladesh
5. Predicting Autism Spectrum Disorder (ASD) meltdown using Fuzzy Semi-Supervised Learning with NNRW
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