Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding

Yasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, Hiroki Iwai. Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding. In Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava, editors, Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II. Volume 6635 of Lecture Notes in Computer Science, pages 185-197, Springer, 2011. [doi]

@inproceedings{UrabeYTI11,
  title = {Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding},
  author = {Yasuhiro Urabe and Kenji Yamanishi and Ryota Tomioka and Hiroki Iwai},
  year = {2011},
  doi = {10.1007/978-3-642-20847-8_16},
  url = {http://dx.doi.org/10.1007/978-3-642-20847-8_16},
  researchr = {https://researchr.org/publication/UrabeYTI11},
  cites = {0},
  citedby = {0},
  pages = {185-197},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II},
  editor = {Joshua Zhexue Huang and Longbing Cao and Jaideep Srivastava},
  volume = {6635},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-20846-1},
}