In stochastic linear/non-linear active dynamic systems, states are estimated with the evidence through recursive measurements in response to queries of the ...
Apr 23, 2018 · Abstract—In stochastic linear/nonlinear active dynamic systems, states are estimated with the evidence through recursive measure-.
On Analysis of Active Querying for Recursive State Estimation - PMC
www.ncbi.nlm.nih.gov › PMC6927333
Dec 23, 2019 · In this paper, we focus on using an information theoretic approach based on mutual information for active query selection from a countable set ...
We introduce a novel recursive state estimation framework for BCI-based typing systems using active querying and stopping. Previously, we proposed a history- ...
In this manuscript, we extend beyond our existing approaches, redefine the Momentum to consider all the possible stimuli that can be used for querying and ...
Topic: Machine Learning for Signal Processing: Sequential learning; sequential decision methods ; Paper Title: ON ANALYSIS OF ACTIVE QUERYING FOR RECURSIVE STATE ...
The proposed active RBI framework is applied to the trajectory of the posterior changes in the probability simplex that provides a coordinated active ...
On analysis of active querying for recursive state estimation. A ... An active recursive state estimation framework for brain-interfaced typing systems.
In this pa- per, we (a) propose a criterion based on a linear combination of state posterior and its changes, (b) show that for discrete- valued state ...
Recursive Bayesian inference (RBI) framework provides optimal Bayesian latent variable estimates in real-time settings with streaming noisy observations. Active ...