Filtering with State-Observation Examples via Kernel Monte Carlo Filter

17 Dec 2013Motonobu KanagawaYu NishiyamaArthur GrettonKenji Fukumizu

This paper addresses the problem of filtering with a state-space model. Standard approaches for filtering assume that a probabilistic model for observations (i.e. the observation model) is given explicitly or at least parametrically... (read more)

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