7150 search results - page 284 / 1430 » An Approximation Algorithm for Approximation Rank |
175
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
228
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AI
2011
Springer
14 years 10 months ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
130
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...
219
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ICAPR
2009
Springer
16 years 1 months ago
2009
Springer
In this paper, we propose a novel method for fast nearest neighbors retrieval in non-Euclidean and non-metric spaces. We organize the data into a hierarchical fashion that preserv...
177
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ICDM
2007
IEEE
16 years 1 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...