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» High-level approach to modeling of observed system behavior
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CCGRID
2008
IEEE
15 years 6 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
IEEEARES
2009
IEEE
15 years 6 months ago
Accuracy: The Fundamental Requirement for Voting Systems
—There have been several attempts to develop a comprehensive account of the requirements for voting systems, particularly for public elections. Typically, these approaches identi...
Tim Storer, Russell Lock
AIPRF
2008
15 years 1 months ago
Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Pau...
FASE
2003
Springer
15 years 5 months ago
Detecting Implied Scenarios Analyzing Non-local Branching Choices
Scenarios are powerful tools to model and analyze software systems. However, since they do not provide a complete description of the system, but just some possible execution paths,...
Henry Muccini
ECCV
1994
Springer
15 years 3 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li