Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification

Tien-Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh. Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification. In Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil, editors, Neural Information Processing - 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part II. Volume 8227 of Lecture Notes in Computer Science, pages 124-131, Springer, 2013. [doi]

@inproceedings{NguyenPV13-0,
  title = {Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification},
  author = {Tien-Vu Nguyen and Dinh Q. Phung and Svetha Venkatesh},
  year = {2013},
  doi = {10.1007/978-3-642-42042-9_16},
  url = {http://dx.doi.org/10.1007/978-3-642-42042-9_16},
  researchr = {https://researchr.org/publication/NguyenPV13-0},
  cites = {0},
  citedby = {0},
  pages = {124-131},
  booktitle = {Neural Information Processing - 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part II},
  editor = {Minho Lee and Akira Hirose and Zeng-Guang Hou and Rhee Man Kil},
  volume = {8227},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-42041-2},
}