Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version

NeurIPS 2012 Marc Peter DeisenrothShakir Mohamed

Rich and complex time-series data, such as those generated from engineering systems, financial markets, videos or neural recordings, are now a common feature of modern data analysis. Explaining the phenomena underlying these diverse data sets requires flexible and accurate models... (read more)

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