Abstract: For nonlinear systems that can be written in pseudo-linear form, we use iterative model predictive control (IMPC) for receding-horizon optimization. Pseudo-linear models, which are written ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

Abstract: Generative models are typically evaluated by direct inspection of their generated samples, e.g., by visual inspection in the case of images. Further evaluation metrics like the Fréchet ...