Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood
Jaakko Riihimki and Pasi Jylnki and Aki Vehtari

Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood.pdf 1.20MB
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@article{14:3,author={Jaakko Riihimki and Pasi Jylnki and Aki Vehtari}, Title={Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood},journal={Journal of Machine Learning Research},volume={14}, url={http://www.jmlr.org/papers/volume14/riihimaki13a/riihimaki13a.pdf}}
Citation:
Riihimki, J., Jylnki, P., & Vehtari, A.. (2014). Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood [Data set]. Academic Torrents. https://academictorrents.com/details/e4f58dc83c8dff5c08b8faac05907c971b4f9d25
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