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187
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
158
Voted
CORR
2012
Springer
14 years 21 days ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
118
Voted
ISNN
2005
Springer
15 years 10 months ago
2005
Springer
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
146
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SIGCOMM
2010
ACM
15 years 5 months ago
2010
ACM
Of the major factors affecting end-to-end service availability, network component failure is perhaps the least well understood. How often do failures occur, how long do they last,...
193
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KDD
2012
ACM
13 years 7 months ago
2012
ACM
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 ...