IEEE

Sample-Efficient Modeling and Optimization of High-Dimensional Semiconductor Processes Using Output-Augmented Gaussian Process Regression and Dynamic Bayesian Optimization

Abstract: Semiconductor process modeling in early stages of process development is challenging due to limited availability of the data, high dimensionality of inputs and outputs, and ...
eLife

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
IEEE

Adaptive Sampling for Spherical Near-Field Antenna Measurements via Uncertainty-Driven Gaussian Process Regression

Abstract: This paper proposes an adaptive sampling technique for spherical near-field (SNF) antenna measurements that leverages the predictive uncertainty of Gaussian process regression (GPR) to guide ...
GitHub

An Intuitive Tutorial to Gaussian Processes Regression

@misc{wang2020intuitive, title={An Intuitive Tutorial to Gaussian Processes Regression}, author={Jie Wang}, year={2020}, eprint={2009.10862}, archivePrefix={arXiv}, primaryClass={stat.ML} } The ...
Scientific Research Publishing

Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). The Guilford Press.

ABSTRACT: The purpose of this study was to establish the mediating role of job satisfaction (JS) in the relationship between job involvement (JI) and psychological well-being (PWB). A cross-sectional ...