Results 111 to 120 of about 213,693 (303)
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 +2 more
core
Multiple Explanations Driven Naïve Bayes Classifier
, 2006 Exploratory data analysis over foreign language text presents virtually untapped opportunity. This work incorporates Naïve Bayes classifier with Case-Based Reasoning in order to classify and analyze Arabic texts related to fanaticism.
Almonayyes, Ahmad, Almonayyes,Ahmad
core +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
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
EVALUASI INTERNAL PROGRAM STUDI MENGGUNAKAN METODE NAÃVE BAYES CLASSIFIER (NBC)
SAINTEKBU, 2017 ABSTRACTThe Development of department and study program can not be seperated by its internal factors which is influenced number of candidate of students it self direct or indirectly. In this case we need a method to know the condition in each internal variables that will be evaluated in the department itself.NBC method is kind of simple Bayesian ...
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang +14 more
wiley +1 more source
Illiteracy Classification Using K Means-Naïve Bayes Algorithm
JOIV : International Journal on Informatics Visualization, 2018 Illiteracy is an inability to recognize characters, both in order to read and write. It is a significant problem for countries all around the world including Indonesia. In Indonesia, illiteracy rate is generally set as an indicator to see whether or not education in Indonesia is successful.
Muhammad Firman Aji Saputra +2 more
openaire +3 more sources
Advanced Intelligent Systems, EarlyView.Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source
Perbandingan Algoritma Naive Bayes dan C.45 dalam Klasifikasi Data Mining
Jurnal Teknologi Informasi dan Ilmu Komputer, 2018 Pada paper ini, telah diterapkan metode Naive Bayes serta C.45 ke dalam 4 buah studi kasus, yaitu kasus penerimaan “Kartu Indonesia Sehat”, penentuan pengajuan kartu kredit di sebuah bank, penentuan usia kelahiran, serta penentuan kelayakan calon ...
Yogiek Indra Kurniawan
doaj +1 more source
Discussion on Kernel Functions of Naïve Bayes
Naïve Bayes is a classification algorithm based on Bayes Theory and feature conditional independence assumption. With a simple basic idea, the algorithm is widely used and proved effective in text classification, spam detecting and emotion analysis and ...
Jingyi Li
core +1 more source