Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
Edu Metz, Raimondas Lencevicius, Teofilo F. Gonzal...
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
We describe a method for performance analysis of large software systems that combines a fast instruction-set simulator with off-line detailed analysis of segments of the execution...
Abstract. E-Science Semantic Grids can often be thought of as dynamic collection of semantic subgrids where each subgrid is a collection of modest number of services that assembled...