We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
— In this paper we consider the problem of finding a smaller RLCM circuit that approximately replicates the behavior (up to a certain frequency) of a given RLCM circuit. Targeted...
We investigate the optimum transmission strategy that minimizes the overall distortion for delaysensitive but distortion-tolerant data. We consider a set of source symbols residin...
Fuzzy cognitive map is an approach to knowledge representation and inference; it emphasizes the connections of concepts as basic units for storing knowledge, and the structure that...
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...