— A non-parametric, low-complexity algorithm for accurate and simultaneous localization of multiple sensors from scarce and imperfect ranging information is proposed. The techniq...
Giuseppe Destino, Giuseppe Thadeu Freitas de Abreu
Abstract— We describe a model for planar distributed assembly, in which agents move randomly and independently on a twodimensional grid, joining square blocks together to form a ...
We present the development of T-UPPAAL — a new tool for online black-box testing of real-time embedded systems from non-deterministic timed automata specifications. It is based ...
Kim Guldstrand Larsen, Marius Mikucionis, Brian Ni...
This paper explores collaborative ability of co-training algorithm. We propose a new measurement (CA) for representing the collaborative ability of co-training classifiers based o...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
Abstract. We introduce a model for cooperative coevolutionary algorithms (CCEAs) using partial mixing, which allows us to compute the expected long-run convergence of such algorith...