Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Background: The incorporation of annotated sequence information from multiple related species in commonly used databases (Ensembl, Flybase, Saccharomyces Genome Database, Wormbase...
Steven N. Steinway, Ruth Dannenfelser, Christopher...
This paper considers resource allocation algorithms for processing streams of events on computational grids. For example, financial trading applications are executed on large comp...
The simplicity of the basic client/server model of Web services led quickly to its widespread adoption, but also to scalability and performance problems. The technological respons...
Micah Beck, Terry Moore, Leif Abrahamsson, Christo...