Abstract. We present a fixpoint semantics of event systems. The semantics is presented in a general framework without concerns of fairness. Soundness and completeness of rules for...
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
In this paper, we consider safe Time Petri Nets where time intervals (strict and large) are associated with places (P-TPN), arcs (A-TPN) or transitions (T-TPN). We give the formal ...
We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct “entities” from weak trac...
We develop a rigorous semantics for Power and ARM multiprocessor programs, including their relaxed memory model and the behaviour of reasonable fragments of their instruction sets...
Jade Alglave, Anthony C. J. Fox, Samin Ishtiaq, Ma...