Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
Validate learning, predict and design next-gen C-N coupling catalyst material.
MaximizeEI Maximize the expected improvement acquisition function for Gaussian processes. Use the dispersion-enhanced strategy from (Müller; 2024) for batch sampling. ParetoFront Sample at the Pareto ...
Abstract: Stopping criteria for Bayesian optimization (BO) automatically terminate the optimization algorithm when a near-optimal solution has likely been reached, avoiding unnecessary expenditure of ...
ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).
Abstract: This paper presents design optimization of a consequent-pole asymmetric rotor hybrid interior permanent magnet synchronous machine (CPAR-HIPMSM) based on the surrogate model to improve ...
The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results