— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
Feature models are widely employed in domainspecific software development to specify the domain requirements with commonality and variability. A feature model is usually construct...
As the technology is shrinking toward 50 nm and the working frequency is going into multi gigahertz range, the effect of interconnects on functionality and performance of system-o...
Mohammad H. Tehranipour, Nisar Ahmed, Mehrdad Nour...
This paper introduces an accurate and efficient electrical analysis of logic gates modeled as Multiple Voltage Threshold Models (MVTM) loaded by the associated interconnect. MVTMs...
Peter Feldmann, Soroush Abbaspour, Debjit Sinha, G...
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...