高斯过程 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "高斯过程" in Chinese language version.

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3web.archive.org

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1platypusinnovation.blogspot.co.uk

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archive.org

Bishop, C.M. Pattern Recognition and Machine Learning. Springer. 2006. ISBN 0-387-31073-8.
Simon, Barry. Functional Integration and Quantum Physics. Academic Press. 1979.
Grimmett, Geoffrey; David Stirzaker. Probability and Random Processes. Oxford University Press. 2001. ISBN 0198572220.

doi.org

Chen, Zexun; Wang, Bo; Gorban, Alexander N. Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Computing and Applications. 2019-12-31. ISSN 0941-0643. doi:10.1007/s00521-019-04687-8 （英语）.
Rasmussen, C. E. Gaussian Processes in Machine Learning. Advanced Lectures on Machine Learning. Lecture Notes in Computer Science 3176. 2004: 63–71. ISBN 978-3-540-23122-6. doi:10.1007/978-3-540-28650-9_4.
Seeger, Matthias. Gaussian Processes for Machine Learning. International Journal of Neural Systems. 2004, 14 (2): 69–104. doi:10.1142/s0129065704001899.

gaussianprocess.org

Rasmussen, C.E.; Williams, C.K.I. Gaussian Processes for Machine Learning. MIT Press. 2006 [2018-06-26]. ISBN 0-262-18253-X. （原始内容存档于2021-05-22）.

platypusinnovation.blogspot.co.uk

Platypus Innovation: A Simple Intro to Gaussian Processes (a great data modelling tool). [2016-11-02]. （原始内容存档于2018-05-01）.

springer.com

link.springer.com

Chen, Zexun; Wang, Bo; Gorban, Alexander N. Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Computing and Applications. 2019-12-31. ISSN 0941-0643. doi:10.1007/s00521-019-04687-8 （英语）.

ucl.ac.uk

web4.cs.ucl.ac.uk

Barber, David. Bayesian Reasoning and Machine Learning. Cambridge University Press. 2012 [2018-06-26]. ISBN 978-0-521-51814-7. （原始内容存档于2020-11-11）.

web.archive.org

Platypus Innovation: A Simple Intro to Gaussian Processes (a great data modelling tool). [2016-11-02]. （原始内容存档于2018-05-01）.
Barber, David. Bayesian Reasoning and Machine Learning. Cambridge University Press. 2012 [2018-06-26]. ISBN 978-0-521-51814-7. （原始内容存档于2020-11-11）.
Rasmussen, C.E.; Williams, C.K.I. Gaussian Processes for Machine Learning. MIT Press. 2006 [2018-06-26]. ISBN 0-262-18253-X. （原始内容存档于2021-05-22）.

worldcat.org

Chen, Zexun; Wang, Bo; Gorban, Alexander N. Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Computing and Applications. 2019-12-31. ISSN 0941-0643. doi:10.1007/s00521-019-04687-8 （英语）.