Results 91 to 100 of about 57,230 (310)

A New Double Weighted Fuzzy Hypergeometric Naive Bayes Network and its Application for User’s Assessment in Virtual Reality Simulators

International Journal of Computational Intelligence Systems
Assessment methods have been used for identify the quality of procedures performed by human beings. In virtual reality simulators, user’s interaction data can be collected and utilized by Single User Assessment Systems (SUAS) to assess the user’s ...
Jodavid Ferreira, Liliane S. Machado, Ronei Marcos de Moraes   +2 more
doaj   +1 more source

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

Machine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier, Jörg Hoffmann, Michael C. Thrun   +2 more
doaj   +1 more source

Diagnosa Penderita Penyakit Kanker Payudara Menggunakan Metode Naïve Bayes

INFORMATION MANAGEMENT FOR EDUCATORS AND PROFESSIONALS : Journal of Information Management, 2019
Abstrak: Perkembangan teknologi informasi yang begitu cepat mempengaruhi lini kehidupan manusia. Hal ini dibuktikan dengan diciptakannya sistem berbasis komputer yang dapat mengatasi persoalan disegala lini kehidupan. Salah satu bidang yang saat ini dipengaruhi oleh teknologi informasi adalah bidang kesehatan dan kedokteran.
Kuswara, Heri, Frissetyo, Taufik
openaire   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

PREDIKSI TINGKAT KELANCARAN PEMBAYARAN KREDIT BANK MENGGUNAKAN ALGORITMA NAÏVE BAYES BERBASIS FORWARD SELECTION

Ilkom Jurnal Ilmiah, 2017
Tujuan dari Penelitian ini adalah Mengoptimalkan algoritma Naïve Bayes dengan seleksi fitur Forward Selection untuk dapat meningkatkan hasil akurasi atau tingkat keberhasilan yang didapatkan dari prediksi pembayaran kredit.Data yang akan digunakan dalam ...
Maryam Hasan
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms

JOIV: International Journal on Informatics Visualization
This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents.
Irzal Arief Wisky, Sarjon Defit, Gunadi Widi Nurcahyo   +2 more
doaj   +1 more source

Klasifikasi Data NAP (Nota Analisis Pembiayaan) untuk Prediksi Tingkat Keamanan Pemberian Kredit (Studi Kasus : Bank Syariah Mandiri Cabang Luwuk Sulawesi Tengah)

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015
Abstrak Setiap bulannya bank syariah mandiri cabang luwuk menerima proposal kredit (NAP) dari nasabah dalam jumlah yang terus meningkat dan perlu respon yang cepat.
Sumarni Adi, Edi Winarko
doaj   +1 more source

Opinion Mining Pada Review Produk Kecantikan Menggunakan Algoritma Naïve Bayes

Jurnal Sistem Informasi, 2018
Abstract— In recent years many sentiment analysis and opinion mining applications have been developed to analyze opinions, feelings and attitudes about products, brands, and news, etc. These applications mine opinions from different sources like online forums and news sites and from movie, product and hotel reviews.
openaire   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source