「Bayesian Optimization」の検索結果
9 件Scaling laws guide the design choices for training large foundation models, but deriving them involves trainin
We present a system that uses a Vision-Language Model (VLM) as a diagnostic agent for adapting a detect-to-tra
Self-driving laboratories (SDLs) combine automated experimentation with adaptive decision-making to accelerate
Gaussian-process Bayesian optimization (GP-BO) excels at black-box optimization of costly functions, e.g., hyp
Black-Box Optimization (BBO) has broad applications, while traditional algorithms such as evolutionary algorit
Optimizing expensive, high-dimensional black-box functions remains a central challenge in modern machine learn
Learning operators from sequentially collected data arises in adaptive experimental design, Bayesian optimizat
Reservoir computing (RC) couples a fixed recurrent dynamical system with a trained lightweight readout, but th
Expensive constrained optimization problems in real-world industry design often involve constraint thresholds