Scientific Research Publishing

Explore the Use of Prompt-Based LLM for Credit Risk Classification ()

Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated superior ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Analytics Insight

Best Tools for Hyperparameter Optimization in Machine Learning

Hyperparameter optimization is crucial for enhancing machine learning models. It involves selecting the right set of parameters to achieve the best performance. Optimizing hyperparameters can ...
IEEE

Performance-Driven Safe Bayesian Optimization for Intelligent Tuning of High-Order Cascade Systems

Abstract: Automatic parameter tuning of high-order cascade controllers suffers from sampling inefficiency and strong couplings. This work presents a performance-driven, systematic, and safe ...
IEEE

Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks

Abstract: Compared to the traditional machine learning models, deep neural networks (DNN) are known to be highly sensitive to the choice of hyperparameters. While the required time and effort for ...