ML Anthology

Gaussian Process Latent Random Field

Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu
AAAI 2010 pp. 679-684
doi:10.1609/AAAI.V24I1.7697 /aaai/2010/zhong2010aaai-gaussian/

Abstract

In this paper, we propose a novel supervised extension of GPLVM, called Gaussian process latent random field (GPLRF), by enforcing the latent variables to be a Gaussian Markov random field with respect to a graph constructed from the supervisory information.

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Cite

Text

Zhong et al. "Gaussian Process Latent Random Field." AAAI Conference on Artificial Intelligence, 2010. doi:10.1609/AAAI.V24I1.7697

Markdown

[Zhong et al. "Gaussian Process Latent Random Field." AAAI Conference on Artificial Intelligence, 2010.](https://mlanthology.org/aaai/2010/zhong2010aaai-gaussian/) doi:10.1609/AAAI.V24I1.7697

BibTeX

@inproceedings{zhong2010aaai-gaussian,
  title     = {{Gaussian Process Latent Random Field}},
  author    = {Zhong, Guoqiang and Li, Wu-Jun and Yeung, Dit-Yan and Hou, Xinwen and Liu, Cheng-Lin},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2010},
  pages     = {679-684},
  doi       = {10.1609/AAAI.V24I1.7697},
  url       = {https://mlanthology.org/aaai/2010/zhong2010aaai-gaussian/}
}