Identifiability for Gaussian Processes with Holomorphic Kernels.
Year: 2025
Type: conference-paper
Source: PubMed
Authors: Ameer Qaqish, Didong Li
Institution: University of North Carolina at Chapel Hill
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Institutes of Health
Awards: Novel Deep Learning Tools for Clinical Decision Support in Postoperative Pain Management, Semiparametric Analysis of Big Censored Data, Robust Computational and Data Analytic Tools for In-depth Understanding Postoperative Pain Mechanism with Enhanced Pain Management and Clinical Decision Making, Enhanced Machine Learning Tools for Complex Data Evaluation and Integration in Advancing Health Outcomes, UNC Center for Environmental Health and Susceptibility, North Carolina Translational and Clinical Sciences Institute (NC TraCS), Statistical Issues in AIDS Research
OpenAlex ID: W7129180221
FWCI:
Cites:
Cited by:
Related to: