EurekAlert!

New ensemble AI model enhances cyber intrusion detection with high accuracy

A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion ...
Scientific Research Publishing

Comparative Analysis of Neural Networks and Naive Bayes for Multilingual Text Identification ()

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
Scientific Research Publishing

Genkin, A., Lewis, D.D. and Madigan, D. (2007) Large-Scale Bayesian Logistic Regression for Text Categorization. Technometrics, 49, 291-304.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
ascopubs.org

Machine Learning Model Predicts Abnormal Lymphocytosis Associated With Chronic Lymphocytic Leukemia

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes The diagnosis of chronic lymphocytic leukemia (CLL) is often ...
Frontiers

Machine learning approach for personalized vancomycin steady-state trough concentration prediction: a superior approach over Bayesian population pharmacokinetic model

Appropriate vancomycin trough levels are crucial for ensuring therapeutic efficacy while minimizing toxicity. The aim of this study is to identify clinical factors that influence the steady-state ...
www.cs.cmu.edu

Classical generalization theory is more predictive in foundation models than in conventional deep networks

Key takeaway: When learning over discrete prompts used in modern vision-language models, classical PAC-Bayes bounds turn out to be remarkably tight — significantly tighter than prior PAC-Bayes results ...
IEEE

Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models

Abstract: This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. While both fields are ...
Frontiers

Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea

This study provided baseline data for preventing depression in female older adults living alone by understanding the degree of their depressive disorders and factors affecting these depressive ...
GitHub

bayesian-classifier

This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and ...