We present ReactiveML, a programming language dedicated to the implementation of complex reactive systems as found in graphical user interfaces, video games or simulation problems...
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userâ...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Synthesizing architectural requirements from an application viewpoint can help in making important architectural design decisions towards building large scale parallel machines. I...
Anand Sivasubramaniam, Aman Singla, Umakishore Ram...