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A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.
Trong Nghia Hoang
Quang Minh Hoang
Bryan Kian Hsiang Low
Published in:
ICML (2015)
Keyphrases
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gaussian process
regression model
variational inference
big data
gaussian processes
bayesian framework
model selection
approximate inference
latent variables
semi supervised
probabilistic model
data analysis
prior knowledge
hyperparameters
machine learning
information retrieval