Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies

Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima. Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. In Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Volume 10535 of Lecture Notes in Computer Science, pages 238-250, Springer, 2017. [doi]

@inproceedings{ZhangIK17,
  title = {Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies},
  author = {Guoxi Zhang and Tomoharu Iwata and Hisashi Kashima},
  year = {2017},
  doi = {10.1007/978-3-319-71246-8_15},
  url = {https://doi.org/10.1007/978-3-319-71246-8_15},
  researchr = {https://researchr.org/publication/ZhangIK17},
  cites = {0},
  citedby = {0},
  pages = {238-250},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II},
  editor = {Michelangelo Ceci and Jaakko Hollmén and Ljupco Todorovski and Celine Vens and Saso Dzeroski},
  volume = {10535},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-71246-8},
}