Abstract: A key challenge to make effective use of evolutionary algorithms (EAs) is to choose appropriate settings for their parameters. However, the appropriate parameter setting generally depends on ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure ...

Odyssey Math Tuition, a tuition agency in Singapore, has launched a dedicated JC 2 math tuition elearning course to aid ...

This paper is concerned with the long-time behavior of solutions for a class of stochastic semilinear degenerate equations with memory driven by nonlinear noise on ℝ n ...

The standard interpretation of a null state, or empty state, posits it as devoid of structure. This paper introduces a ...

Abstract: Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical ...