We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
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...
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
: As in advertising, online information works best if the users instantly realize the message conveyed. There is no easy to use and valid method for measuring what the viewers actu...
This paper discusses an extended adaptive supply network simulation model that explicitly captures growth (in terms of change in size over time, and birth and death) based on Utte...