We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Modern processors used in embedded systems are becoming increasingly powerful, having features like caches and pipelines to speedup execution. While execution speed of embedded so...
The integration phase of real-time COTS-based systems is often problematic because when multiple tasks run concurrently, the interference at the bus level between cache fetching a...
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
Effort to evolve and maintain a software system is likely to vary depending on the amount and frequency of change requests. This paper proposes to model change requests as time se...