3076 search results - page 449 / 616 » Active Learning for Networked Data |
141
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WSC
1998
15 years 7 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
192
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CIKM
2011
Springer
14 years 6 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
210
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IEEEPACT
2008
IEEE
16 years 28 days ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
161
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ICC
2009
IEEE
16 years 1 months ago
2009
IEEE
— High variability of access resources in heterogenous wireless networks and limited computing power and battery life of mobile computing devices such as smartphones call for nov...
154
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HT
2009
ACM
16 years 1 months ago
2009
ACM
Data created by social bookmarking systems can be described as 3-partite 3-uniform hypergraphs connecting documents, users, and tags (tagging networks), such that the toolbox of c...