Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
The widespread popularity of roaming wireless devices with limited and heterogeneous capabilities is enabling new challenging deployment scenarios for multimedia streaming in wire...
Paolo Bellavista, Antonio Corradi, Carlo Giannelli
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...