Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...
Demands on better interacting with physical world require an effective and comprehensive collaboration mechanism among multiple heterogeneous sensor networks. Previous works mainl...
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
As the number of cores per die increases, be they processors, memory blocks, or custom accelerators, the on-chip interconnect the cores use to communicate gains importance. We beg...
Martha Mercaldi Kim, John D. Davis, Mark Oskin, To...
Network coding is a new transmission paradigm that proved its strength in optimizing the usage of network resources. In this paper, we evaluate the gain from using network coding ...