Sequential Bayesian Estimation for Adaptive Classification

Sequential Bayesian Estimation for Adaptive Classification

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....

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs:	Yoon, J, Roberts, S, Dyson, M, Can, J, IEEE
Formaat:	Conference item
Gepubliceerd in:	2008

Gelijkaardige items

Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.
door: Yoon, J, et al.
Gepubliceerd in: (2009)

Bayesian inference for an adaptive Ordered Probit model: an application to Brain Computer Interfacing.
door: Yoon, J, et al.
Gepubliceerd in: (2011)

Sequential classification of mental tasks vs. idle state for EEG based BCIs
door: Dyson, M, et al.
Gepubliceerd in: (2009)

Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing
door: Yoon, J, et al.
Gepubliceerd in: (2008)

Sequential Bayesian prediction in the presence of changepoints
door: Garnett, R, et al.
Gepubliceerd in: (2009)

On Sequential Bayesian Inference for Continual Learning
door: Samuel Kessler, et al.
Gepubliceerd in: (2023-05-01)

On sequential Bayesian inference for continual learning
door: Kessler, S, et al.
Gepubliceerd in: (2023)

Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
door: J. Rings, et al.
Gepubliceerd in: (2010-03-01)

Bayesian estimation and optimization for learning sequential regularized portfolios
door: Marisu, Godeliva Petrina, et al.
Gepubliceerd in: (2023)

Bayesian sequential estimation of the proportion of damage in maize seeds
door: Isabela da Silva Lima, et al.
Gepubliceerd in: (2024-03-01)

Sequential Bayesian Prediction in the Presence of Changepoints and Faults
door: Garnett, R, et al.
Gepubliceerd in: (2010)

Sequential bayesian prediction in the presence of changepoints and faults
door: Garnett, R, et al.
Gepubliceerd in: (2010)

An adaptive sequential Monte Carlo method for approximate Bayesian computation
door: Del Moral, P, et al.
Gepubliceerd in: (2011)

An adaptive sequential Monte Carlo method for approximate Bayesian computation
door: Del Moral, P, et al.
Gepubliceerd in: (2012)

A novel adaptive resampling for sequential Bayesian filtering to improve frequency estimation of time-varying signals
door: Nattapol Aunsri, et al.
Gepubliceerd in: (2021-04-01)

Sequential Bayesian wavelet denoising
door: Coates, M, et al.
Gepubliceerd in: (1999)

Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation.
door: Yannik Schälte, et al.
Gepubliceerd in: (2023-01-01)

Bayesian persuasion in sequential decision-making
door: Gan, J, et al.
Gepubliceerd in: (2022)

On an application of sequential bayesian techniques for estimating the fatality rate of Dengue in Malaysia
door: Kamarulzaman Ibrahim,, et al.
Gepubliceerd in: (1997)

Bayesian time series classification
door: Sykacek, P, et al.
Gepubliceerd in: (2002)

Bayesian Estimation Based on Sequential Order Statistics for Heterogeneous Baseline Gompertz Distributions
door: Tzong-Ru Tsai, et al.
Gepubliceerd in: (2021-01-01)

Sequential and Adaptive Learning Algorithms for M-Estimation
door: Guang Deng
Gepubliceerd in: (2008-05-01)

Creating adaptive farm typologies using Naive Bayesian classification
door: Wim Paas, et al.
Gepubliceerd in: (2017-09-01)

Sequential MCMC for Bayesian model selection
door: Andrieu, C, et al.
Gepubliceerd in: (1999)

Sequential MCMC for Bayesian model selection
door: Andrieu, C, et al.
Gepubliceerd in: (1999)

Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
door: Lukas J. Fiderer, et al.
Gepubliceerd in: (2021-04-01)

Sequential Dynamic Classification Using Latent Variable Models
door: Lee, S, et al.
Gepubliceerd in: (2010)

Hierarchical Bayesian Models for Regularization in Sequential Learning
door: Freitas, D, et al.
Gepubliceerd in: (2000)

Bayesian sequential data assimilation for COVID-19 forecasting
door: Maria L. Daza-Torres, et al.
Gepubliceerd in: (2022-06-01)

Adaptive sequential sampling for reliability estimation of binary functions
door: Miroslav Vořechovský
Gepubliceerd in: (2022-08-01)

Sequential non-stationary dynamic classification with sparse feedback
door: Lowne, DR, et al.
Gepubliceerd in: (2010)

Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo
door: Johansen, A, et al.
Gepubliceerd in: (2006)

A Bayesian approach to sequential meta-analysis
door: Spence, G, et al.
Gepubliceerd in: (2016)

Bayesian Sequential Learning for Railway Cognitive Radio
door: Cheng Wang, et al.
Gepubliceerd in: (2019-03-01)

Bayesian sequential analysis of clinical trials feedback
door: Hayet Merabet
Gepubliceerd in: (2014-05-01)

Model Selection and Parameter Estimation for an Improved Approximate Bayesian Computation Sequential Monte Carlo Algorithm
door: Yue Deng, et al.
Gepubliceerd in: (2022-01-01)

Validation of a Bayesian Adaptive Estimation Technique in the Stop-Signal Task.
door: Evan J Livesey, et al.
Gepubliceerd in: (2016-01-01)

Bayesian Gaussian processes for sequential prediction, optimisation and quadrature
door: Osborne, M, et al.
Gepubliceerd in: (2010)

A Bayesian sequential updating approach to predict phenology of silage maize
door: M. Viswanathan, et al.
Gepubliceerd in: (2022-04-01)

Sequentially Adaptive Bayesian Learning for a Nonlinear Model of the Secular and Cyclical Behavior of US Real GDP
door: John Geweke
Gepubliceerd in: (2016-03-01)