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 ...

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...

Protein engineering through machine-learning-guided directed evolution enables the optimization of protein functions. Machine-learning approaches predict how sequence maps to function in a data-driven ...

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