Bias / Variance Analysis for Network Data

@inproceedings{Neville2006BiasV,
  title={Bias / Variance Analysis for Network Data},
  author={Jennifer Neville and David Jensen},
  year={2006}
}
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the learning process, but in relational and network applications, the inference process introduces an additional source of error. Collective inference techniques introduce additional error both through the use of approximate inference algorithms and through variation in the availability of test set information. To date, the… CONTINUE READING