Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
IEEE

High-Confidence Classification of Partial Discharge Acoustic Signals Using Bayesian Networks for Uncertainty Quantification

Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...
IEEE

Research on Classification Methods Based on Bayesian Optimization and Multiple Kernel Quantum Support Vector Machines

Abstract: This paper introduces a Bayesian Optimization-based Multiple Kernel Quantum Support Vector Machine (BO-MKQSVM) to overcome the limitations of traditional Quantum Support Vector Machines ...