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143
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ISNN
2004
Springer
15 years 8 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
Liefeng Bo, Ling Wang, Licheng Jiao
135
Voted
ICC
2007
IEEE
147views Communications» more  ICC 2007»
15 years 9 months ago
Evolution of Radio Resource Management: A Case for Cognitive Resource Manager with VPI
— The cognitive radio and cognitive wireless networks paradigms are interesting candidates for the next generation self-organizing and self-reconfigurable wireless networks. In ...
Marina Petrova, Petri Mähönen, Janne Rii...
139
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SGAI
2004
Springer
15 years 8 months ago
Exploiting Causal Independence in Large Bayesian Networks
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...
Rasa Jurgelenaite, Peter J. F. Lucas
118
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AAAI
2007
15 years 4 months ago
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
Wei Sun, Kuo-Chu Chang
142
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DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 4 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar