Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Large Language Models (LLMs) have transformed Artificial Intelligence (AI) by generating human-like text and solving complex ...

Researchers from more than 50 international institutions have launched Open Problems, a collaborative open-source platform to ...

Researchers from more than 50 international institutions have launched Open Problems ( a collaborative open-source platform to benchmark, improve, and run competitions for computational methods in ...

For many years, the AI industry has focused on building larger language models (LLMs). This strategy delivered positive ...

The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. TSVR is the decomposition of a large convex ...

Foveal sensitivity to the features of an imminent saccade target increases with the target’s conspicuity, supporting foveal prediction as a viable mechanism for maintaining visual continuity in ...

Sun, Y. and Wang, Q. (2020) Function-on-Function Quadratic Regression Models. Computational Statistics & Data Analysis, 142, Article ID 106814.

In this paper, we present a robust adaptive model predictive control (MPC) scheme for linear systems subject to parametric uncertainty and additive disturbances. The proposed approach provides a ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...