1282 search results - page 247 / 257 » Algorithms for Large, Sparse Network Alignment Problems |
IWANN
1999
Springer
15 years 4 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
82
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DSN
2004
IEEE
15 years 3 months ago
2004
IEEE
The authors describe the use of bounded model checking (BMC) for verifying Web application code. Vulnerable sections of code are patched automatically with runtime guards, allowin...
SIGCOMM
2010
ACM
14 years 12 months ago
2010
ACM
Energy consumption is a major and costly problem in data centers. A large fraction of this energy goes to powering idle machines that are not doing any useful work. We identify tw...
118
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MM
2006
ACM
15 years 5 months ago
2006
ACM
Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to locations of interest. We describe an alternative and flexible approach to w...
MM
2010
ACM
14 years 12 months ago
2010
ACM
Quality control and resource optimization are challenging problems in peer-assisted video streaming systems, due to their large scales and unreliable peer behavior. Such systems a...