An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation

Research article (Neurocomputing, 2018) · cited 23× · AI/ML
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An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation

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An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-em-algorithm-for-mixtures-of-gaussian-processes-via-the-mcmc-sampling-and-approximation
MLA “An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-em-algorithm-for-mixtures-of-gaussian-processes-via-the-mcmc-sampling-and-approximation.
BibTeX @misc{4ortxyz_an-effective-em-algorithm-for-mixtures-of-gaussian-processes-via-the-mcmc-sampling-and-approximation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-em-algorithm-for-mixtures-of-gaussian-processes-via-the-mcmc-sampling-and-approximation}, note = {Accessed: 2026-05-24}}
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