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Found 131065 Document(s) match with the query 20415003
Studi perbandingan pemilihan fitur untuk support vector machine pada klasifikasi penilaian risiko kredit = Comparative study of feature selection for support vector machine in the classification of credit risk scoring
Author : Silalahi, Desri Kristina, author
Call Number : T44513
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
Klasifikasi data infark serebri menggunakan support vector machine dan seleksi fitur relief = Classification of cerebral infarction using support vector machine and relief feature selection / Amanda Rizki Bagasta
Author : Amanda Rizki Bagasta, author
Call Number : S-Pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Klasifikasi retinopati diabetik menggunakan Support Vector Machine (SVM) dengan metode seleksi fitur Recursive Feature Elimination (RFE) dan chi-square = Classification of retinopathy diabetic using Support Vector Machine (SVM) with feature selection method Recursive Feature Elimination (RFE) and chi-square
Author : Alifah, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Klasifikasi kanker paru-paru menggunakan support vector machine dengan pemilihan fitur berbasis fungsi kernel = Classification of lung cancer using support vector machine with feature selection based on kernel function
Author : Melati Vidi Jannati, author
Call Number : S66852
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Pengenalan wajah untuk klasifikasi pria atau wanita menggunakan support vector machine dengan pemilihan fitur fisher score = Face recognition for male or female classification using support vector machine with fisher score feature selection
Author : Ayu Andya Ruvita, author
Call Number : S-Pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Klasifikasi data infark serebri menggunakan multiple support vector machine dengan seleksi fitur information gain = Cerebral infarction data classification using multiple support vector machine with information gain feature selection
Author : Arfiani, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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