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» Dynamic power management using machine learning
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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 9 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
ICPADS
2006
IEEE
15 years 9 months ago
Destination-Based HoL Blocking Elimination
Congestion management is likely to become a critical issue in interconnection networks, as increasing power consumption and cost concerns will lead to the use of smaller networks....
T. Nachiondo, Jose Flich, José Duato
131
Voted
SP
2006
IEEE
169views Security Privacy» more  SP 2006»
15 years 9 months ago
A Safety-Oriented Platform for Web Applications
The Web browser has become the dominant interface to a broad range of applications, including online banking, Web-based email, digital media delivery, gaming, and ecommerce servic...
Richard S. Cox, Steven D. Gribble, Henry M. Levy, ...
AIMS
2007
Springer
15 years 9 months ago
Harnessing Models for Policy Conflict Analysis
Policy conflict analysis processes based solely on the examination of policy language constructs can not readily discern the semantics associated with the managed system for which ...
Steven Davy, Brendan Jennings
142
Voted
CASES
2010
ACM
15 years 1 months ago
Balancing memory and performance through selective flushing of software code caches
Dynamic binary translators (DBTs) are becoming increasingly important because of their power and flexibility. However, the high memory demands of DBTs present an obstacle for all ...
Apala Guha, Kim M. Hazelwood, Mary Lou Soffa