News

Bayesian learning boosts gene research accuracy
Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint ...
Frontiers6d
Machine Learning Approach for Personalized Vancomycin Steady-State Trough Concentration Prediction: A Superior Approach Over Bayesian Population Pharmacokinetic Model
Random forest models were constructed and validated using internal and external datasets, with performance compared to a Bayesian PopPK model. The machine learning model incorporated ... The random ...
GitHub15d
naive-bayes-classifier
nsfw-image-detection is a vision-language encoder model fine-tuned from siglip2-base-patch16-256 for multi-class image classification. Built on the SiglipForImageClassification architecture, the model ...
IEEE21d
The Cost of Dichotomizing Continuous Labels for Binary Classification Problems: Deriving a Bayesian-Optimal Classifier
While regression models are suitable for these learning ... classification problems, exploiting the original labels before splitting the classes can lead to better classification performance. This ...
Scientific Research Publishing27d
Zhu, W., Song, Y. and Xiao, Y. (2020) Support Vector Machine Classifier with HUberized Pinball Loss. Engineering Applications of Artificial Intelligence, 91, Article ID: 103635.
ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...