Browsing UT - Computer Science by Subject "Feature"
Now showing items 1-2 of 2
-
Grade Point Average Prediction of Computer Science Department Students using VFI5 Algorithm. Counseled by Aziz Kustiyo
(2010)Feature Voting Intervals 5 describes a concept by performing classification on each feature separately. VFI5 is a non-incremental algorithm in which all training instances are processed simultaneously. Two steps of VFI5 ... -
Perbandingan Kinerja Single dan Multiple Feature pada Sistem Temu Kembali Citra Tumbuhan Menggunakan Ensemble Multinomial Logistic Regression.
(2016)Daun tumbuhan dapat diidentifikasi menggunakan fitur yang berbeda. Hal ini penting untuk memilih fitur yang optimal untuk melakukan identifikasi. Penelitian ini menganalisis kinerja single feature dan multiple feature ...