Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Abstract. Research on processing XML documents gained much activity in recent times. XML query languages are mostly based on XPath expressions, which are used to select parts of XM...
Abstract— This paper deals with the long run average continuous control problem of piecewise deterministic Markov processes (PDMP‘s) taking values in a general Borel space and ...
Labelled Markov processes (LMPs) are automata whose transitions are given by probability distributions. In this paper we present a ‘universal’ LMP as the spectrum of a commutat...
Abstract--This paper presents a multiparameter momentmatching-based model order reduction technique for parameterized interconnect networks via a novel two-directional Arnoldi proc...