Results 111 to 120 of about 123,621 (240)
Stable Distribution Naive Bayes Achieves Higher Accuracy Than Traditional Naive Bayes Classification
This study evaluates the performance of the Stable Distribution Naive Bayes Classifier on the well-known IRIS dataset, comparing it against the traditional Naive Bayes Classifier. The Stable Distribution Classifier, well-suited for data with heavy tails and skewness, consistently achieves superior accuracy, especially when handling outliers and ...
Xiaoying Zeng, Eugene Pinsky
openaire +1 more source
Abstract Objective Accurate classification of salivary gland tumors is critical to guiding appropriate management. This study evaluates the diagnostic performance of artificial intelligence models in classifying salivary gland tumors on ultrasound. Data Sources A comprehensive search of CINAHL, PubMed, and Scopus was conducted through January 28, 2025.
Isabelle J. Chau +5 more
wiley +1 more source
Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier. [PDF]
Alwateer M +5 more
europepmc +1 more source
Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto +2 more
wiley +1 more source
ABSTRACT Introduction In real‐world practice in Japan, standard treatment for metastatic hormone‐naïve prostate cancer (mHNPC) is androgen deprivation therapy (ADT), administered as monotherapy, combined androgen blockade (CAB), ADT plus androgen receptor pathway inhibitors (ARPIs), or ADT plus docetaxel.
Atsushi Mizokami +14 more
wiley +1 more source
A Naive Bayes model on lung adenocarcinoma projection based on tumor microenvironment and weighted gene co-expression network analysis. [PDF]
Ye Z, Song P, Zheng D, Zhang X, Wu J.
europepmc +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Prediction of Hormone-Binding Proteins Based on K-mer Feature Representation and Naive Bayes. [PDF]
Guo Y, Hou L, Zhu W, Wang P.
europepmc +1 more source
An array‐based nanozyme‐aptamer platform for rapid, colorimetric fingerprinting of Staphylococcus aureus strains is reported. By combining differential aptamer dissociation with pattern‐recognition analysis, the sensor achieves strain‐level discrimination, infers virulence, and predicts the identification of previously unencountered strains, offering a
Pabudi Weerathunge +8 more
wiley +1 more source
Epileptic Seizure Detection Using Hyperdimensional Computing and Binary Naive Bayes Classifier. [PDF]
Huang X, Meng H, Li Z.
europepmc +1 more source

