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JMLR
2010
115views more  JMLR 2010»
13 years 6 months ago
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwr...
EWSN
2010
Springer
14 years 4 months ago
Querying Dynamic Wireless Sensor Networks with Non-revisiting Random Walks
The simplicity and low-overhead of random walks have made them a popular querying mechanism for Wireless Sensor Networks. However, most of the related work is of theoretical nature...
Marco Zuniga, Chen Avin, Manfred Hauswirth
NIPS
2007
13 years 9 months ago
Semi-Supervised Multitask Learning
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
Qiuhua Liu, Xuejun Liao, Lawrence Carin
GRC
2008
IEEE
13 years 8 months ago
Effects of Varying the Delay Distribution in Random, Scale-free, and Small-world Networks
Graph-theory-based approaches have been used with great success when analyzing abstract properties of natural and artificial networks. However, these approaches have not factored...
Bum Soon Jang, Timothy Mann, Yoonsuck Choe
INFOCOM
2010
IEEE
13 years 6 months ago
Cross-layer Optimization for Wireless Networks with Deterministic Channel Models
Abstract—Existing work on cross-layer optimization for wireless networks adopts simple physical-layer models, i.e., treating interference as noise. In this paper, we adopt a dete...
Ziyu Shao, Minghua Chen, Salman Avestimehr, Shuo-Y...