Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data

Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro. Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data. In Valeri Mladenov, Petia D. Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov, editors, Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings. Volume 8131 of Lecture Notes in Computer Science, pages 17-25, Springer, 2013. [doi]

@inproceedings{OkadomeNSII13,
  title = {Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data},
  author = {Yuya Okadome and Yutaka Nakamura and Yumi Shikauchi and Shin Ishii and Hiroshi Ishiguro},
  year = {2013},
  doi = {10.1007/978-3-642-40728-4_3},
  url = {http://dx.doi.org/10.1007/978-3-642-40728-4_3},
  researchr = {https://researchr.org/publication/OkadomeNSII13},
  cites = {0},
  citedby = {0},
  pages = {17-25},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings},
  editor = {Valeri Mladenov and Petia D. Koprinkova-Hristova and Günther Palm and Alessandro E. P. Villa and Bruno Appollini and Nikola Kasabov},
  volume = {8131},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-40727-7},
}