Social Learning under Uncertainty Based on Dempster-Shafer Approach for Minimizing True Error of Machine Learning
Hegazy Zaher, Mohamed Abdullah & Naglaa Raga Said · Journal of Advances in Mathematics and Computer Science · 2015
Minimizing true error of the classification process under uncertainty is one of the difficult issues in the field of machine learning. Researchers do not address this topic until this time despite its importance in practical life. This paper can be considered as a development of...
Open access
Research Article
10.9734/BJMCS/2015/15619