Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
— High variability of access resources in heterogenous wireless networks and limited computing power and battery life of mobile computing devices such as smartphones call for nov...
Dimitrios Tsamis, Tansu Alpcan, Jatinder Pal Singh...
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...
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
The Real-Time Specification for Java (RTSJ) [10] is becoming a popular choice in the world of real-time programming. However, the complexities introduced by RTSJ bring the needs ...