An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Currently available application frameworks that target the automatic design of real-time embedded software are poor in integrating functional and non-functional requirements for m...
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
It is well known that universally composable multiparty computation cannot, in general, be achieved in the standard model without setup assumptions when the adversary can corrupt a...
The availability of inexpensive wireless networking hardware (e.g., based on the IEEE 802.11 standards) has generated interest in a large class of wireless applications. Many appl...