Recency-weighted Markovian inference
Kristjan Kalm · arXiv (Cornell University) · 2017
We describe a Markov latent state space (MLSS) model, where the latent state distribution is a decaying mixture over multiple past states. We present a simple sampling algorithm that allows to approximate such high-order MLSS with fixed time and memory costs.