IEEE

Application and Effectiveness Evaluation of Bayesian Optimization Algorithm in Hyperparameter Tuning of Machine Learning Models

Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...
Scientific Research Publishing

Grossman, Z. and Paul, W.E. (2015) Dynamic Tuning of Lymphocytes: Physiological Basis, Mechanisms, and Function. Annual Review of Immunology, 33, 677-713.

ABSTRACT: The canonical affinity-threshold model of thymic T-cell selection posits that thymocyte fate is determined by TCR-pMHC integrated affinity. However, this model fails to explain high ...
IEEE

Reinforcement Learning-Based Hyperparameter Tuning for Adaptive Model Predictive Controllers in Battery Thermal Management

Abstract: Battery thermal management (BTM) is crucial for maximizing the battery performance and maintaining the battery health. Model Predictive Control (MPC) stands as a promising technique for ...