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SIAMSC
2008
198views more  SIAMSC 2008»
13 years 8 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
INFOCOM
2012
IEEE
11 years 10 months ago
Towards energy-fairness in asynchronous duty-cycling sensor networks
Abstract—In this paper, we investigate the problem of controlling node sleep intervals so as to achieve the min-max energy fairness in asynchronous duty-cycling sensor networks. ...
Zhenjiang Li, Mo Li, Yunhao Liu
HIS
2007
13 years 9 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
MASCOTS
2008
13 years 9 months ago
Network Information Flow in Network of Queues
Two classic categories of models exist for computer networks: network information flow and network of queues. The network information flow model appropriately captures the multi-ho...
Phillipa Gill, Zongpeng Li, Anirban Mahanti, Jingx...
ICASSP
2010
IEEE
13 years 8 months ago
Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
Keqin Liu, Qing Zhao