The change of focus from code to models promoted by OMG's Model Driven Development raises the need for verification of nonfunctional characteristics of UML models, such as pe...
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...
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...
Service Oriented Programming - which combines Distributed Object Compunting, Component Based and webbased concepts - has recently emerged as a promising approach to develop dynami...
Domenico Cotroneo, Cristiano di Flora, Stefano Rus...
Electronic concept mapping tools empower experts to play an active role in the knowledge capture process, and provide a medium for building richly connected multimedia knowledge m...
David B. Leake, Ana Gabriela Maguitman, Thomas Rei...