说明：Meta-learning, or learning to learn, is the science of systematically observing how different
machine learning approaches perform on a wide range of learning tasks, and then learning
from this experience, or meta-data, to learn new tasks much faster <mfysxf> 上传 | 大小：387kb
说明：Convex optimization problems arising in applications, possibly as approx-
imations of intractable problems, are often structured and large scale. When the data
are noisy, it is of interest to bound the solution error relative to the (unknown) solu-
t <mfysxf> 上传 | 大小：483kb
说明：Spiking neural networks (SNNs) have advantages
over traditional, non-spiking networks with respect to bio-
realism, potential for low-power hardware implementations, and
theoretical computing power. However, in practice, spiking net-
works with multi <mfysxf> 上传 | 大小：1mb
