Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Multiple Clock Domain (MCD) processors are a promising future alternative to today’s fully synchronous designs. Dynamic Voltage and Frequency Scaling (DVFS) in an MCD processor ...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
The requirements for secure document workflows in enterprises become increasingly sophisticated, with employees performing different tasks under different roles using the same pro...
Yacine Gasmi, Ahmad-Reza Sadeghi, Patrick Stewin, ...
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...