The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...
Krisztian Buza, Alexandros Nanopoulos, Lars Schmid...
We propose a method to visually summarize collections of networks on which a clustering of the vertices is given. Our method allows for efficient comparison of individual networks...
In this paper, we propose a model for exploiting community based usage information for video retrieval. Implicit usage information from a pool of past users could be a valuable sou...
Fault screeners are a new breed of fault identification technique that can probabilistically detect if a transient fault has affected the state of a processor. We demonstrate that...
Paul Racunas, Kypros Constantinides, Srilatha Mann...
This paper describes how soft performance bounds can be expressed for software systems using stochastic probes over stochastic process algebra models. These stochastic probes are ...
Ashok Argent-Katwala, Jeremy T. Bradley, Nicholas ...