Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System

Yinuo Wang, Yu Guo, Fei Wang. Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System. In Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, editors, Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Volume 1333 of Communications in Computer and Information Science, pages 804-812, Springer, 2020. [doi]

@inproceedings{WangGW20-0,
  title = {Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System},
  author = {Yinuo Wang and Yu Guo and Fei Wang},
  year = {2020},
  doi = {10.1007/978-3-030-63823-8_91},
  url = {https://doi.org/10.1007/978-3-030-63823-8_91},
  researchr = {https://researchr.org/publication/WangGW20-0},
  cites = {0},
  citedby = {0},
  pages = {804-812},
  booktitle = {Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V},
  editor = {Haiqin Yang and Kitsuchart Pasupa and Andrew Chi-Sing Leung and James T. Kwok and Jonathan H. Chan and Irwin King},
  volume = {1333},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-63823-8},
}