We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Although the diversity of platforms for network experimentation is a boon to the development of protocols and distributed systems, it is challenging to exploit its benefits. Impl...
Mesh network is vulnerable to privacy attacks because of the open medium property of wireless channel, the fixed topology, and the limited network size. Traditional anonymous rou...
Network mapping is a convenient tool for comparing and exploring biological networks; it can be used for predicting unknown pathways, fast and meaningful searching of databases, a...
Qiong Cheng, Robert W. Harrison, Alexander Zelikov...
We study network error correction with unequal link capacities. Previous results on network error correction assume unit link capacities. We consider network error correction codes...
Sukwon Kim, Tracey Ho, Michelle Effros, Amir Salma...