Results 191 to 200 of about 88,334 (288)
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction. [PDF]
Hong T +4 more
europepmc +1 more source
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
ABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
wiley +1 more source
A Coupled Refined Model of Atomistic and Continuum Parameters of Diatomic Covalent Bonds. [PDF]
Hondliakh O +3 more
europepmc +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
CRTSC: Channel-Wise Recalibration and Texture-Structural Consistency Constraint for Anomaly Detection in Medical Chest Images. [PDF]
Xiong M +7 more
europepmc +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source
From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]
Kim J, Kang H, Chang S.
europepmc +1 more source

