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HIS
2004
13 years 11 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
SRDS
2010
IEEE
13 years 7 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...
IEEEPACT
2006
IEEE
14 years 3 months ago
Whole-program optimization of global variable layout
On machines with high-performance processors, the memory system continues to be a performance bottleneck. Compilers insert prefetch operations and reorder data accesses to improve...
Nathaniel McIntosh, Sandya Mannarswamy, Robert Hun...
INFOCOM
2005
IEEE
14 years 3 months ago
Optimizing cost-sensitive trust-negotiation protocols
Trust negotiation is a process that establishes mutual trust by the exchange of digital credentials and/or guiding policies among entities who may have no pre-existing knowledge a...
Weifeng Chen, L. Clarke, James F. Kurose, Donald F...
ISCC
2005
IEEE
14 years 3 months ago
Optimal Delay-Constrained Minimum Cost Loop Algorithm for Local Computer Network
This study deals with the Delay-Constrained Minimum Cost Loop Problem (DC-MCLP) of finding several loops from a source node. The DC-MCLP consists of finding a set of minimum cost ...
Yong-Jin Lee, Mohammed Atiquzzaman