Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
The purpose of this paper is two fold. Firstly, to inform the Australian software engineering community of the European Fifth Framework research structure and the involvement of a...
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Current solutions to characterize grid computing usage are limited in three important aspects. First, they do not provide a global, uniform view of the use of infrastructures compr...
Glauco Antonio Ludwig, Luciano Paschoal Gaspary, G...
Recent advances in device technology and connectivity have paved the way for next generation applications that are data-driven, where data can reside anywhere, can be accessed at ...