The design of large-scale, distributed, performance-sensitive systems presents numerous challenges due to their networkcentric nature and stringent quality of service (QoS) requir...
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
Functional prototypes and simulations are a well recognised and valued tool for building a shared understanding of requirements between users and developers. However, the developm...
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...