This paper presents an efficient approach to compute the dominant poles for the reduced-order admittance (Y parameter) matrix of lossy interconnects. Using the global approximati...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
traction for PCF1 Samson.Abramsky2 University of Edinburgh and Radha Jagadeesan3 Loyola University Chicago and Pasquale Malacaria4 Queen Mary and Westfield College An intensional m...
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Abstract. We describe SAFL, a call-by-value first-order functional language which is syntactically restricted so that storage may be statically allocated to fixed locations. Evalua...