Multi-Label Classification Using Conditional Dependency Networks

Guo, Yuhong; Gu, Suicheng

doi:10.5591/978-1-57735-516-8/IJCAI11-220

Multi-Label Classification Using Conditional Dependency Networks

Yuhong Guo, Suicheng Gu

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1300-1304.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-220

Abstract

In this paper, we tackle the challenges of multi-label classification by developing a general conditional dependency network model. The proposed model is a cyclic directed graphical model, which provides an intuitive representation for the dependencies among multiple label variables, and a well integrated framework for efficient model training using binary classifiers and label predictions using Gibbs sampling inference. Our experiments show the proposed conditional model can effectively exploit the label dependency to improve multi-label classification performance.

Yuhong Guo, and Suicheng Gu. 2011. Multi-Label Classification Using Conditional Dependency Networks. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 1300–1304. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-220

@inproceedings{ijcai2011p220,
  title     = {Multi-Label Classification Using Conditional Dependency Networks},
  author    = {Guo, Yuhong and Gu, Suicheng},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {1300--1304},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-220},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-220},
}

TY  - CPAPER
TI  - Multi-Label Classification Using Conditional Dependency Networks
AU  - Guo, Yuhong
AU  - Gu, Suicheng
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 1300
EP  - 1304
DO  - 10.5591/978-1-57735-516-8/IJCAI11-220
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-220
ER  -