A bias/variance decomposition for models using collective inference

By Jennifer Neville, David D. Jensen. 2008

23 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Evaluation & Benchmarks

How researchers see this paper

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

In Artificial Intelligence

1. Bryan Perozzi
2. Steven S. Skiena
3. Rami Al-Rfou
4. William L. Hamilton
5. Jure Leskovec
6. Stephan Günnemann
7. Philip S. Yu
8. Aleksandar Bojchevski

In Evaluation & Benchmarks

1. Rami Al-Rfou
2. Steven S. Skiena
3. Bryan Perozzi

Citations in the corpus

• DeepWalk: online learning of social representations (2014, background): “This separation between the structural representation and the labeling task avoids cascading errors, which can occur in iterative methods [33].”
• Local Modeling of Attributed Graphs: Algorithms and Applications (2016, background): “This separation between the structural representation and the labeling task avoids cascading errors, which can occur in iterative methods [104].”