1658 search results - page 40 / 332 » Learning Unknown Graphs |
110
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
115
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
In recent years, there has been a proliferation of theoretical graph models, e.g., preferential attachment and small-world models, motivated by real-world graphs such as the Inter...
106
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JUCS
2008
15 years 1 months ago
2008
: This paper describes the process of translating an adaptive sequencing strategy designed using Sequencing Graphs to the semantics of IMS Learning Design. The relevance of this co...
124
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
114
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COLT
2005
Springer
15 years 7 months ago
2005
Springer
In the machine learning community it is generally believed that graph Laplacians corresponding to a finite sample of data points converge to a continuous Laplace operator if the s...