865 search results - page 115 / 173 » Random graph models for the web graph |
154
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
134
Voted
ACMSE
2006
ACM
15 years 10 months ago
2006
ACM
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
145
Voted
PDIS
1996
IEEE
15 years 8 months ago
1996
IEEE
The World Wide Web is a large, heterogeneous, distributedcollectionof documents connected by hypertext links. The most common technologycurrently used for searching the Web depend...
169
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
192
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CVPR
2009
IEEE
16 years 2 months ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...