Uji kinerja dan analisis k-support vector nearest neighbor terhadap decision tree dan naive bayes
 Artikel Jurnal
Azzam Labib Hakim
Peningkatan Akurasi Transliterasi Reversibel Pegon - Latin dengan Pendekatan Rule-Based dan Model Naive Bayes dengan Metode Tokenisasi Bigram = Improving the Accuracy of Reversible Transliteration from Pegon to Latin using a Rule-based Approach and Naive Bayes Model with Bigram Tokenization Method
Fakultas Ilmu Komputer Universitas Indonesia, 2024
 UI - Skripsi Membership
Adrian Larry Ananda Sudarthio
Peningkatkan Akurasi Transliterasi Reversibel Pegon - Latin dengan Pendekatan Rule-Based dan Model Naive Bayes dengan Metode Tokenisasi Bigram = Improving the Accuracy of Reversible Transliteration from Pegon to Latin using a Rule-Based Approach and Naive Bayes Model with Bigram Tokenization Method
Fakultas Ilmu Komputer Universitas Indonesia, 2024
 UI - Skripsi Membership
Annisa Kamalia
Klasifikasi data talasemia menggunakan K-nearest neighbor dan naive bayes = Classification of data thalassemia using K-nearest neighbor and naive bayes
2019
 UI - Skripsi Membership
Fahri Alamsyah
Perancangan sistem pengenalan wajah menggunakan Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), dan Convolutional Neural Network (CNN) = Development of face recognition system using Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), and Convolutional Neural Network (CNN)
Fakultas Teknik Universitas Indonesia, 2021
 UI - Skripsi Membership