This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
This paper defines a framework in which one can formalize a variety of authorization and policy issues that arise in access control of shared computing resources. Instantiations ...
Stefan Schwoon, Somesh Jha, Thomas W. Reps, Stuart...
This paper considers the problem of scheduling Real Time applications on a general-purpose Operating System. The approach taken is to modify a mainstream system, in order to reali...
We describe the design and implementation of the Cornell Cayuga System for scalable event processing. We present a query language based on Cayuga Algebra for naturally expressing ...
Alan J. Demers, Johannes Gehrke, Biswanath Panda, ...
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...