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» Modeling Workflow within Distributed Systems
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ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
102
Voted
SIGOPS
2010
130views more  SIGOPS 2010»
14 years 10 months ago
Storing and accessing live mashup content in the cloud
Today’s Rich Internet Application (RIA) technologies such as Ajax, Flex, or Silverlight, are designed around the client-server paradigm and cannot easily take advantage of repli...
Krzysztof Ostrowski, Ken Birman
ATAL
2005
Springer
15 years 5 months ago
On the dynamics of delegation, cooperation, and control: a logical account
We present dcl-pc: a dynamic logic of delegation and cooperation. The logical foundation of dcl-pc is cl-pc, a logic for reasoning about cooperation in which the powers of agents ...
Wiebe van der Hoek, Michael Wooldridge
IPPS
2010
IEEE
14 years 9 months ago
Oversubscription on multicore processors
Abstract: Existing multicore systems already provide deep levels of thread parallelism. Hybrid programming models and composability of parallel libraries are very active areas of r...
Costin Iancu, Steven Hofmeyr, Filip Blagojevic, Yi...
109
Voted
ICS
2005
Tsinghua U.
15 years 5 months ago
The implications of working set analysis on supercomputing memory hierarchy design
Supercomputer architects strive to maximize the performance of scientific applications. Unfortunately, the large, unwieldy nature of most scientific applications has lead to the...
Richard C. Murphy, Arun Rodrigues, Peter M. Kogge,...