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NIPS
2004
13 years 11 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha
IJCAI
2003
13 years 11 months ago
Active Probing Strategies for Problem Diagnosis in Distributed Systems
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...
EI
1998
47views more  EI 1998»
13 years 11 months ago
One-dimensional Dithering
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...
Robert Ulichney
ICGA
1993
96views Optimization» more  ICGA 1993»
13 years 11 months ago
Dynamic Control of Genetic Algorithms in a Noisy Environment
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 ...
Akiko N. Aizawa, Benjamin W. Wah
NIPS
1994
13 years 11 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz