A production-grade Python package for modeling financial time series using Bayesian jump-diffusion processes. This package implements 9 advanced models, comprehensive risk metrics, portfolio ...

Abstract: Bayesian optimization is a popular black-box optimization method for parameter learning in control and robotics. It typically requires an objective function that reflects the user's ...

Abstract: Bayesian optimization is commonly used to optimize black-box functions associated with simulations in engineering and science. Bayesian optimization contains two essential components: the ...

High-entropy oxides (HEOs), first proposed in 2015, are a novel class of materials attracting significant attention because of their potential to exhibit unexpected physical properties arising from ...

optimal_kernel_number = np.where(r2cvs == np.max(r2cvs))[0][0] # クロスバリデーション後の r2 が最も大きいカーネル関数の番号 ...