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» Sampling community structure
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ICML
2008
IEEE
14 years 10 months ago
Hierarchical sampling for active learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta, Daniel Hsu
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
14 years 10 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
AAAI
2007
14 years 6 days ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...
IC
2003
13 years 11 months ago
Sampling Internet Topologies: How Small Can We Go?
Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
Vaishnavi Krishnamurthy, Junhong Sun, Michalis Fal...
HT
1998
ACM
14 years 2 months ago
Inferring Web Communities from Link Topology
The World Wide Web grows through a decentralized, almost anarchic process, and this has resulted in a large hyperlinked corpus without the kind of logical organization that can be...
David Gibson, Jon M. Kleinberg, Prabhakar Raghavan