The core tenet of the kernel method in machine learning is that it allows one to apply linear statistical methods to datasets that are complex and nonlinear in nature. The kernel function K ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning.

Artificial neural networks show promising performance in detecting correlations within data that are associated with specific outcomes. However, the black-box nature of such models can hinder the ...