Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks

Martin Trapp, Robert Peharz, Carl Rassmusen, Franz Pernkopf

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

LanguageEnglish
Title of host publicationInternational Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models
StatusPublished - 2018

Cite this

Trapp, M., Peharz, R., Rassmusen, C., & Pernkopf, F. (2018). Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. In International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. / Trapp, Martin; Peharz, Robert; Rassmusen, Carl; Pernkopf, Franz.

International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models. 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Trapp, M, Peharz, R, Rassmusen, C & Pernkopf, F 2018, Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. in International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models.
Trapp M, Peharz R, Rassmusen C, Pernkopf F. Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. In International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models. 2018
Trapp, Martin ; Peharz, Robert ; Rassmusen, Carl ; Pernkopf, Franz. / Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models. 2018.
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booktitle = "International Conference on Machine Learning (ICML); Workshop on Tractable Probabilistic Models",

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