The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Abstract. Model checking is a fully automated technique for determining whether the behaviour of a finite-state reactive system satisfies a temporal logic specification. Despite th...
Shoham Ben-David, Richard J. Trefler, Grant E. Wed...
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
The Resource Space Model RSM and Semantic Link Network SLN are models of future interconnection environment, and the combination of them forms a rich semantic layer for the next-ge...