Search Results for author:
Found 3 papers, 1 papers with code
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Thompson sampling (TS) serves as a solution for addressing the exploitation-exploration dilemma in Bayesian optimization (BO).
Multi-fidelity Bayesian Optimization in Engineering Design
Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization (BO), MF BO has found a niche in solving expensive engineering design optimization problems, thanks to its advantages in incorporating physical and mathematical understandings of the problems, saving resources, addressing exploitation-exploration trade-off, considering uncertainty, and processing parallel computing.
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
The proposed approach demonstrated excellent performance in detecting MI.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
