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» Tuning experiments with an adaptive computational framework
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JNCA
2007
136views more  JNCA 2007»
14 years 9 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
EWCBR
2006
Springer
15 years 1 months ago
An Analysis on Transformational Analogy: General Framework and Complexity
In this paper we present TransUCP, a general framework for transformational analogy. Using our framework we demonstrate that transformational analogy does not meet a crucial condit...
Vithal Kuchibatla, Héctor Muñoz-Avil...
APIN
1998
107views more  APIN 1998»
14 years 9 months ago
Multiple Adaptive Agents for Tactical Driving
Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no syst...
Rahul Sukthankar, Shumeet Baluja, John Hancock
EUROPAR
2007
Springer
15 years 1 months ago
Optimizing Chip Multiprocessor Work Distribution Using Dynamic Compilation
How can sequential applications benefit from the ubiquitous next generation of chip multiprocessors (CMP)? Part of the answer may be a dynamic execution environment that automatica...
Jisheng Zhao, Matthew Horsnell, Ian Rogers, Andrew...
SC
2009
ACM
15 years 4 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...