712 search results - page 78 / 143 » A mixture model for random graphs |
133
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BMCBI
2007
15 years 1 months ago
2007
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
124
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ECML
2004
Springer
15 years 6 months ago
2004
Springer
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
113
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SODA
2007
ACM
15 years 2 months ago
2007
ACM
Random geometric graphs have been one of the fundamental models for reasoning about wireless networks: one places n points at random in a region of the plane (typically a square o...
119
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
106
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IDA
2009
Springer
15 years 6 months ago
2009
Springer
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...