Correctional authorities require accurate, unbiased, and interpretable tools to predict individuals’ chances of recidivating if released into the community. However, existing prediction models have serious limitations meeting these requirements. We overcome by applying an established medical diagnostic approach: a relaxed naïve Bayes classifier. Using logistic regression in form classifier, we ...

Sistem pengenalan wajah merupakan sistem yang dapat mengenali seseorang dengan bantuan komputer. Untuk tersebut, dilakukan ekstraksi fitur terlebih dahulu. Pada penelitian ini digunakan metode isomap untuk mengekstrak wajah. Isomap suatu mengubah dimensi citra berdimensi tinggi menjadi fitur-fitur memiliki rendah. Data adalah diperoleh dari 6 orang, setiap orang 4 variasi ekspresi citra. Setela...

The heart is one of the human organs that has an important function to circulate blood throughout body. In caring for heart, must know how take care and check health conditions regularly do it early in order avoid dangerous diseases attack heart. this study, a disease diagnostic examination was carried out using machine learning with Naïve Bayes method. criteria used predicting study were gende...

BACKGROUND Multifactor dimensionality reduction (MDR) is a nonparametric approach that can be used to detect relevant interactions between single-nucleotide polymorphisms (SNPs). The aim of this study was to build the best genomic model based on SNP associations and to identify candidate polymorphisms that are the underlying molecular basis of the bipolar disorders. METHODS This study was per...

Indonesia menjadi negara yang memiliki banyak bahasa, selain Bahasa dijadikan sebagai bahasa dalam berkomunikasi, disetiap daerah di juga masing-masing. Banyaknya dimiliki membuat masyarakat luar atau orang asing sulit mengidentifikasi asal digunakan, tujuan peneliti melakukan penelitian untuk mengunakan metode naïve bayes dan random forest dari hasil identifikasi sesuai dengan teks Toraja, Kal...

One-class Bayes learning such as one-class Naïve Bayes and one-class Bayesian Network employs Bayes learning to build a classifier on the positive class only for discriminating the positive class and the negative class. It has been applied to anomaly detection for identifying abnormal behaviors that deviate from normal behaviors. Because one-class Bayes classifiers can produce probability score...