We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
MppSoC is a SIMD architecture composed of a grid of processors and memories connected by a X-Net neighbourhood network and a general purpose global router. MppSoC is an evolution ...
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
Argument diagramming tools can improve reasoning and learning. They are likely to have a significant place in future virtual learning environments whose design will be dominated b...
Abstract. Due to the changing scope of data management towards the management of heterogeneous and distributed systems and applications, integration processes gain in importance. T...