1469 search results - page 89 / 294 » Characterizing the Structural Complexity of Real-World Compl... |
132
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ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
124
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
136
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
116
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COGSCI
2010
15 years 1 months ago
2010
Network science provides a new way to look at old questions in cognitive science by examining the structure of a complex system, and how that structure might influence processing....
156
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AP2PC
2003
Springer
15 years 8 months ago
2003
Springer
Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabi...