An Improved Binary Quadratic Discriminant Analysis Classifier by Using Robust Regularization

In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results. Moreover, the testing and/or the training data can be erroneous due to noise contamination which further degrade...

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Principais autores:	Alam Zaib, Shahid Khattak, Ghulam Mujtaba, Shahid Khan, Amal Al-Rasheed
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Discriminant analysis LDA QDA regularization data classification
גישה מקוונת:	https://ieeexplore.ieee.org/document/10620913/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!