Results 101 to 110 of about 102,648 (335)
Jurnal Tekno Insentif, 2019 Abstrak - Penyakit ginjal kronis (PGK) merupakan masalah kesehatan masyarakat global dengan prevalensi dan insiden gagal ginjal yang meningkat, prognosis yang buruk dan biaya yang tinggi.
Toni Arifin, Daniel Ariesta
doaj +1 more source
A Decision tree-based attribute weighting filter for naive Bayes
, 2006 The naive Bayes classifier continues to be a popular learning algorithm for data mining applications due to its simplicity and linear run-time. Many enhancements to the basic algorithm have been proposed to help mitigate its primary weakness--the ...
Hall, Mark A.
core
Studi Klasifikasi dengan Bayesian Belief Networks Menggunakan Naive Bayes Classifier dan Tree Augmented Naive Bayes Classifier [PDF]
, 2007 ABSTRAKSI: Data Mining merupakan ekstraksi informasi potensial yang terkandung secara implisit pada database. Salah satu task pada data mining yang menjadi pokok perhatian dalam Tugas Akhir ini adalah klasifikasi, khususnya teknik bayesian yang sedang ...
Lasnita Y. Dahlia
core
IMPLEMENTASI ALGORITMA MULTINOMIAL NAIVE BAYES CLASSIFIER
, 2018 ABSTRAK Informasi diperkirakan lebih dari 80% tersimpan dalam bentuk teks tidak terstruktur. Oleh karena itu, dibutuhkan sistem pengelolaan teks yaitu dengan metode text mining yang diyakini memiliki potensial nilai komersial tinggi.
Dea Herwinda Kalokasari +2 more
core +1 more source
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 +4 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Applying Naive Bayes Classifier to Document Clustering
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2010 Document clustering partitions sets of unlabeled documents so that documents in clusters share common concepts. A Naive Bayes Classifier (BC) is a simple probabilistic classifier based on applying Bayes’ theorem with strong (naive) independence assumptions.
Jie Ji, Qiangfu Zhao
openaire +1 more source
Using Unlabeled Data to Improve Classification in the Naive Bayes Approach: Application to Web Searc [PDF]
This paper introduces a method to build a classifier based on labeled and unlabeled data. We set up the EM algorithm steps for the particular case of the naive Bayes approach and show empirical work for the restricted web page database.
Stella M. Salvatierra
core
Klasifikasi Teks dengan Naive Bayes Classifier untuk Pengelompokan Teks Artikel [PDF]
, 2015 Jumlah teks artikel yang tersedia dalam bentuk digital semakin banyak hampir setiap media massa elektronik memberikan sebuah informasi seperti halnya artikel.
Anita, Nur
core
Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface
Advanced Intelligent Systems, EarlyView.This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee +5 more
wiley +1 more source