Gaussian belief propagation : theory and application (פעפוע אמונות גאוסייני.)

By Danny Bickson. 2009

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Le Song
2. Eric P. Xing
3. Arthur Gretton
4. Kenji Fukumizu
5. Bernhard Schölkopf
6. Yoshua Bengio
7. Krikamol Muandet
8. Alex Smola

Citations in the corpus

• Kernel Belief Propagation (2011, background): “We follow Bickson (2008) in our presentation of the original Gaussian BP setting.”
• GraphLab: A New Framework For Parallel Machine Learning (2010, methodology): “We used Gaussian BP (GaBP) as a linear solver [Bickson, 2008] since it has a natural GraphLab representation.”
• Kernel Embeddings of Latent Tree Graphical Models (2011, background): “Once the covariance matrix has been estimated, computing the marginal of one variable given a set of evidence reduces to solving a linear equation of one variable [2].”