Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
We address the task of problem determination in a distributed system using probes, or test transactions, which gather information about system components. Effective probing requir...
Mark Brodie, Irina Rish, Sheng Ma, Natalia Odintso...
A real-time inverse dithering system for video display can be implemented very efficiently if operations are needed on only the current scan line. To optimize overall display qual...
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...