Bayesian models for Large-scale Hierarchical Classification
By Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil. 2012
50 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Siddharth Gopal
- Bhavana Dalvi
- Yiming Yang
- Charu C. Aggarwal
- B. Liu
- Evgeniy Gabrilovich
- Franca Debole
- Qiang Yang
Citations in the corpus
- Recursive regularization for large-scale classification with hierarchical and graphical dependencies (2013, methodology): “Notice that this model is simpler than the fully Bayesian models in [27] and [16] where the dependencies are modeled in richer forms, controlling both the means and covariances in Gaussain models.”
- Constrained Semi-supervised Learning in the Presence of Unanticipated Classes (2016, background): “There has been a lot of research done in the area of supervised hierarchical classification [21, 55, 142].”