Results 101 to 110 of about 57,230 (310)

A Comparative Study of Structural Improvement and Hyperparameter Optimization for Enhancing Naïve Bayes Performance

Journal of Applied Informatics and Computing
The Naïve Bayes (NB) algorithm is widely used due to its simplicity and computational efficiency; however, its performance often degrades on real-world data because the assumption of feature independence is frequently violated.
Jejen Jaenudin, Novita BR Ginting, Yusup Maolani   +2 more
doaj   +1 more source

Integrating Naïve Bayes and FOIL ∗ Niels Landwehr

, 2008
A novel relational learning approach that tightly integrates the naïve Bayes learning scheme with the inductive logic programming rule-learner FOIL is presented. In contrast to previous combinations that have employed naïve Bayes only for post-processing
Luc De Raedt, Stefan Wrobel, Kristian Kersting   +2 more
core  

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

Analisis Sentimen Ulasan Game Stumble Guys Pada Playstore Menggunakan Algoritma Naïve Bayes

Teknika
Perkembangan teknologi yang pesat mempermudah akses ke berbagai hiburan digital, termasuk game online seperti Stumble Guys, yang telah diunduh lebih dari 163 juta kali dan mendapatkan ulasan beragam di Google Play Store.
Awang Herjunie Nurdy, Abdul Rahim, Arbansyah   +2 more
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  

Analisis dan Penerapan Algoritma Naïve Bayes untuk Klasifikasi Penyakit Gingivitis

, 2023
The aim of this research is to implement the Naïve Bayes algorithm for gingivitis classification at Dental Polyclinic, UPTD Pasar Ikan Health Center Bengkulu.
Fadhillah, Muhammad, Elfianty, Lena, Sari, Herlina Latipa   +2 more
core   +1 more source

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, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source

Patient‐Reported Outcomes with Selpercatinib Among Patients with RET Fusion–Positive Non‐Small Cell Lung Cancer in the Phase I/II LIBRETTO‐001 Trial

The Oncologist, EarlyView., 2021
Abstract Background LIBRETTO‐001 is an ongoing, global, open‐label, phase I/II study of selpercatinib in patients with advanced or metastatic solid tumors. We report interim patient‐reported outcomes in patients with RET fusion–positive non‐small cell lung cancer (NSCLC).
Anna Minchom, Aaron C. Tan, Erminia Massarelli, Vivek Subbiah, Valentina Boni, Bruce Robinson, Lori J. Wirth, Lisa M. Hess, Min‐Hua Jen, Jennifer Kherani, Elizabeth Olek, Caroline E. McCoach   +11 more
wiley   +1 more source

PENERAPAN ALGORITMA NAIVE BAYES UNTUK MENGKLASIFIKASI DATA NASABAH ASURANSI

Jurnal Informatika, 2014
Data mining adalah teknik yang memanfaatkan data dalam jumlah yang besar untuk memperoleh informasi berharga yang sebelumnya tidak diketahui dan dapat dimanfaatkan untuk pengambilan keputusan penting. Pada penelitian ini, penulis berusaha menambang data (
Bustami Bustami
doaj   +1 more source

Klasifikasi Pola Peminjam Buku Bedarsarkan Profesi Menggunakan Algoritma Naïve Bayes

SMATIKA JURNAL
As centers of literacy and learning, libraries face challenges in understanding book lending patterns to meet the needs of diverse users. The main problem faced is the lack of data-based analysis in optimizing library services and collections. This research aims to classify book borrowing patterns based on profession using the Naive Bayes algorithm ...
Febri Rosita Dewi, Ade Eviyanti, Arif Senja Fitriani, Ika Ratna Indra Astutik   +3 more
openaire   +1 more source