Results 91 to 100 of about 73,492 (280)
Federated Learning with Discriminative Naive Bayes Classifier
Federated Learning has emerged as a promising approach to train machine learning models on decentralized data sources while preserving data privacy. This paper proposes a new federated approach for Naive Bayes (NB) classification, assuming discrete variables.
Pablo Torrijos +3 more
openaire +2 more sources
ABSTRACT Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business ...
Carlos de las Heras‐Rosas +3 more
wiley +1 more source
Averaged Extended Tree Augmented Naive Classifier
This work presents a new general purpose classifier named Averaged Extended Tree Augmented Naive Bayes (AETAN), which is based on combining the advantageous characteristics of Extended Tree Augmented Naive Bayes (ETAN) and Averaged One-Dependence ...
Aaron Meehan, Cassio P. de Campos
doaj +1 more source
An investigation of genetic algorithm-based feature selection techniques applied to keystroke dynamics biometrics [PDF]
Due to the continuous use of social networks, users can be vulnerable to online situations such as paedophilia treats. One of the ways to do the investigation of an alleged pedophile is to verify the legitimacy of the genre that it claims. One possible
Da Costa Abreu, Marjory +3 more
core
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang +5 more
wiley +1 more source
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim +5 more
wiley +1 more source
A hybrid NLP and domain validation technique for disposable email detection
Disposable email address services have gained popularity recently, offering users a way to register for online services without revealing their primary email. However, this poses challenges for organizations aiming to engage with genuine users.
Rayan Alanazi, Saad Alanazi
doaj +1 more source
Query expansion with naive bayes for searching distributed collections [PDF]
The proliferation of online information resources increases the importance of effective and efficient distributed searching. However, the problem of word mismatch seriously hurts the effectiveness of distributed information retrieval.
Yang, Hui, Zhang, Minjie
core
Dried biofluid droplet morphologies for automated and scalable disease classification
For the first time, disease‐specific fingerprints of diabetes and influenza are revealed from dried biofluid droplet morphologies. Using automated droplet detection, texture analysis, and interpretable machine learning, this scalable workflow transforms endpoint droplet patterns into diagnostic biomarkers for point‐of‐care healthcare applications ...
Anusuya Pal +5 more
wiley +1 more source
Penggunaan Metode Naïve Bayes Classifier pada Analisis Sentimen Facebook Berbahasa Indonesia
Sentiment analysis is a field that is currently in great demand by various groups. Sentiment analysis can be done using documents and opinions from social media. One social media that is usually used as a means of opinion is Facebook social media. Before
Putu Sri Merta Suryani +2 more
doaj +1 more source

