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Sequential Bayesian estimation for adaptive classification

Ji Won Yoon, and Roberts, Stephen J and Dyson, Matt and Gan, John Q (2008) Sequential Bayesian estimation for adaptive classification. In: 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008), 2008-08-20 - 2008-08-22.

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Abstract

This paper proposes a robust algorithm to adapt a model for EEG signal classification using a modified Extended Kalman Filter (EKF). By applying Bayesian conjugate priors and marginalising the parameters, we can avoid the needs to estimate the covariances of the observation and hidden state noises. In addition, Laplace approximation is employed in our model to approximate non-Gaussian distributions as Gaussians. ©2008 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 15 Dec 2012 12:31
Last Modified: 15 Jan 2022 00:44
URI: http://repository.essex.ac.uk/id/eprint/4182

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