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» Network bargaining: algorithms and structural results
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BMCBI
2010
178views more  BMCBI 2010»
13 years 8 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 8 months ago
Coalition Formation Games for Collaborative Spectrum Sensing
Abstract--Collaborative Spectrum Sensing (CSS) between secondary users (SUs) in cognitive networks exhibits an inherent tradeoff between minimizing the probability of missing the d...
Walid Saad, Zhu Han, Tamer Basar, Mérouane ...
KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 10 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
MOBIHOC
2010
ACM
13 years 5 months ago
Near optimal multi-application allocation in shared sensor networks
Recent years have witnessed the emergence of shared sensor networks as integrated infrastructure for multiple applications. It is important to allocate multiple applications in a ...
You Xu, Abusayeed Saifullah, Yixin Chen, Chenyang ...
JCP
2007
100views more  JCP 2007»
13 years 7 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...