Results 71 to 80 of about 27,156 (209)

Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy. [PDF]

Mater Today Proc, 2022
Deepa N, Sathya Priya J, Devi T.
europepmc   +1 more source

Machine Learning Project : Naive Bayes Classifier

, 2019
This is Naive Bayes Classifier based on Maximum Likelihood Estimation. The first model is to handle categorical data only. The second model can handle both categorical data and numeric data. This model is used on banking data to predict customers' decision about banking.
openaire   +1 more source

Artificial Intelligence-Based Effective Detection of Parkinson’s Disease Using Voice Measurements

Engineering Proceedings
Parkinson’s disease (PD) is a neurodegenerative illness that affects the central nervous system and leads to a gradual degeneration of neurons that results in movement slowness, mental health problems, speaking difficulties, etc.
Gogulamudi Pradeep Reddy, Duppala Rohan, Yellapragada Venkata Pavan Kumar, Kasaraneni Purna Prakash, Mandarapu Srikanth   +4 more
doaj   +1 more source

Can naive Bayes classifier predict infection in a close contact of COVID-19? A comparative test for predictability of the predictive model and healthcare workers in Japan. [PDF]

J Infect Chemother, 2022
Yoshikawa H.
europepmc   +1 more source

Naïve Bayes evidence accumulation K-modes clustering: A new method for classifying binary data and its application on real data of injecting drug users

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: Clustering is the method of classifying discrete data such as Kmodes, and Naïve Bayes classifier is the classification to predict the unknown real classes.
Zahra Zamaninasab, Hamid Sharifi, Abbas Bahrampour   +2 more
doaj  

[Establishment of naive Bayes classifier-based risk prediction model for chemotherapyinduced nausea and vomiting]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao, 2021
Cao Z, Xiong X, Yang Q.
europepmc   +1 more source

Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier [PDF]

, 2022
Alan F. Karr, Zac Bowen, Adam Porter, Ruane, Regina   +3 more
openalex   +1 more source

Hierarchical mixtures of naive Bayes classifiers

, 2002
Naive Bayes classifiers tend to perform very well on a large number of problem domains, although their representation power is quite limited compared to more sophisticated machine learning algorithms. In this pa- per we study combining multiple naive Bayes classifiers by using the hierar- chical mixtures of experts system.
openaire   +3 more sources

Naive Bayes Classifier Untuk Deteksi Email Spam

Technologia : Jurnal Ilmiah
Seiring dengan semakin maraknya penggunaan email, masalah spam menjadi semakin serius. Email spam tidak hanya mengganggu produktivitas pengguna, tetapi juga dapat mengandung malware atau phising yang membahayakan. Penelitian ini bertujuan untuk membangun model klasifikasi yang akurat untuk mendeteksi email spam menggunakan algoritma Naive Bayes ...
Mayang Sari, Galih Mahalisa
openaire   +1 more source

Stock Market Classification Model Using Sentiment Analysis on Twitter Based on Hybrid Naive Bayes Classifiers

, 2018
Ghaith Abdulsattar A. Jabbar Alkubaisi, Siti Sakira Kamaruddin, Husniza Husni   +2 more
openalex   +2 more sources