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» On Bayesian Case Matching
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ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
14 years 5 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
TRIDENTCOM
2006
IEEE
14 years 4 months ago
Emulation versus simulation: A case study of TCP-targeted denial of service attacks
—In this paper, we investigate the applicability of simulation and emulation for denial of service (DoS) attack experimentation. As a case study, we consider low-rate TCP-targete...
Roman Chertov, Sonia Fahmy, Ness B. Shroff
RTAS
2005
IEEE
14 years 4 months ago
Bounding Worst-Case Data Cache Behavior by Analytically Deriving Cache Reference Patterns
While caches have become invaluable for higher-end architectures due to their ability to hide, in part, the gap between processor speed and memory access times, caches (and partic...
Harini Ramaprasad, Frank Mueller
ANCS
2010
ACM
13 years 8 months ago
The case for hardware transactional memory in software packet processing
Software packet processing is becoming more important to enable differentiated and rapidly-evolving network services. With increasing numbers of programmable processor and acceler...
Martin Labrecque, J. Gregory Steffan
NIPS
2007
13 years 11 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer