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MAM
2006
78views more  MAM 2006»
15 years 5 months ago
Operating system power minimization through run-time processor resource adaptation
The increasingly constrained power budget of today's microprocessor has resulted in a situation where power savings of all components in a system have to be taken into consid...
Tao Li, Lizy Kurian John
168
Voted
NETWORK
2008
106views more  NETWORK 2008»
15 years 5 months ago
An Effective QoS Differentiation Scheme for Wireless Mesh Networks
Wireless mesh networking is emerging as an important architecture for future-generation wireless communications systems. Quality of service provisioning is a challenging issue in ...
Honglin Hu, Yan Zhang, Hsiao-Hwa Chen
NLE
2008
140views more  NLE 2008»
15 years 5 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne
FGCS
2007
125views more  FGCS 2007»
15 years 5 months ago
An autonomic tool for building self-organizing Grid-enabled applications
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
Gianluigi Folino, Giandomenico Spezzano
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 5 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
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