This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
The purpose of this paper is to show how data mining may offer promise as a strategy for discovering and building alternative representations for the data underlying asynchronous ...
— We introduce a new version of the widely studied survivable mapping problem in IP-over-WDM networks. The new problem allows augmenting the given logical topology and is describ...
Quality assessment plays a crucial role in data analysis. In this paper, we present a reduced-reference approach to volume data quality assessment. Our algorithm extracts importan...
Tractors are the workhorses of the modern farm. By automating these machines, we can increase the productivity, improve safety, and reduce costs for many agricultural operations. ...
Anthony Stentz, Cristian Dima, Carl Wellington, He...