Abstract. This paper explores using information about program branch probabilities to optimise reconfigurable designs. The basic premise is to promote utilization by dedicating mo...
Abstract—This paper formulates and studies a general distributed field reconstruction problem using a dense network of noisy one-bit randomized scalar quantizers in the presence...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Abstract. The overall aim of this paper is to provide a general setting for quantitative quality measures of Knowledge-Based System behavior which is widely applicable to many Know...
Perry Groot, Frank van Harmelen, Annette ten Teije
Abstract. Theorem-prover based modular checkers have the potential to perform scalable and precise checking of user-defined properties by combining pathsensitive intraprocedural re...
Thomas Ball, Brian Hackett, Shuvendu K. Lahiri, Sh...