32545 search results - page 210 / 6509 » Data Structures and Algorithms |
129
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WWW
2010
ACM
15 years 10 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
123
Voted
EMNLP
2008
15 years 5 months ago
2008
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
156
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ASC
2006
15 years 3 months ago
2006
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
149
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JMLR
2012
13 years 6 months ago
2012
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
135
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SIBGRAPI
2008
IEEE
15 years 10 months ago
2008
IEEE
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...