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» Distributed Optimization in Adaptive Networks
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AI
2007
Springer
15 years 9 months ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel
114
Voted
INFOCOM
2002
IEEE
15 years 7 months ago
Analysis of Combined Adaptive Bandwidth Allocation and Admission Control in Wireless Networks
Abstract— An analytical model is developed for cellular networks with a combined adaptive bandwidth allocation and trafficrestriction mechanism. Instead of focusing only on the ...
Chun-Ting Chou, Kang G. Shin
167
Voted
TNN
2010
234views Management» more  TNN 2010»
14 years 9 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 1 months ago
Progressive Decoding for Data Availability and Reliability in Distributed Networked Storage
—To harness the ever growing capacity and decreasing cost of storage, providing an abstraction of dependable storage in the presence of crash-stop and Byzantine failures is compu...
Yunghsiang Han, Soji Omiwade, Rong Zheng
COMCOM
2006
150views more  COMCOM 2006»
15 years 3 months ago
Adaptive ad hoc self-organizing scheduling for quasi-periodic sensor network lifetime
Wireless sensor networks are poised to revolutionize our abilities in sensing and controlling our environment. Power conservation is a primary research concern for these networks....
Sharat C. Visweswara, Rudra Dutta, Mihail L. Sichi...