Items where Subject is "Library of Congress Subject Areas > Breast--Cancer--Diagnosis--Computer programs"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Creators | Item Type
Jump to: H
Number of items at this level: 1.

H

Handayani, Annisa (2017) Evaluasi Algoritma Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) Dan Multi-Layer Perceptron (MLP) untuk Klasifikasi Jenis Tumor Payudara. Diploma thesis, Universitas Al Azhar Indonesia.

This list was generated on Fri Nov 22 14:49:20 2024 WIB.
Repository Universitas Al Azhar Indonesia is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.