Exponential kernels are widely recognized as an effective choice in kernel-based methods. In learning algorithms and artificial intelligence, choosing an appropriate bandwidth parameter for a kernel ...

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

Fidelity quantum kernels provide a provable advantage on classification problems where a group structure in the data can be exploited. However, in practical applications, the group structure may be ...