We will attempt to show how human performance limitations on various types of syntactic embedding constructions in Germanic languages can be modelled in a relational network lingu...
— This paper deals with the performance modeling of the various MAC states as defined by the cdma2000 protocol. Our method uses a composite performance metric which has the capa...
This paper addresses the problem of efficient and accurate performance analysis to drive the exploration and design of bus-based System-on-Chip (SOC) communication architectures. ...
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately es...