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» Maximum Betweenness Centrality: Approximability and Tractabl...
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88
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CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 9 months ago
High-SIR Transmission Capacity of Wireless Networks with General Fading and Node Distribution
In many wireless systems, interference is the main performance-limiting factor, and is primarily dictated by the locations of concurrent transmitters. In many earlier works, the l...
Radha Krishna Ganti, Jeffrey G. Andrews, Martin Ha...
75
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NECO
2007
129views more  NECO 2007»
14 years 9 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
80
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TCOM
2011
155views more  TCOM 2011»
14 years 4 months ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn
DSMML
2004
Springer
15 years 3 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
ESA
2006
Springer
140views Algorithms» more  ESA 2006»
15 years 1 months ago
Latency Constrained Aggregation in Sensor Networks
A sensor network consists of sensing devices which may exchange data through wireless communication. A particular feature of sensor networks is that they are highly energy constrai...
Luca Becchetti, Peter Korteweg, Alberto Marchetti-...