Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
As transistor dimensions continue to scale deep into the nanometer regime, silicon reliability is becoming a chief concern. At the same time, transistor counts are scaling up, ena...
Andrew DeOrio, Konstantinos Aisopos, Valeria Berta...
Content delivery networks have evolved beyond traditional distributed caching. With services such as Akamai's EdgeComputing it is now possible to deploy and run enterprise bu...
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...