Filtering with State-Observation Examples via Kernel Monte Carlo Filter

Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton +1

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 m…