Active recursive Bayesian classification (querying and stopping) for event related potential driven brain computer interface systems
Recursive Bayesian classification (RBC) requires optimal latent variable estimation in the presence of noisy observation to achieve real-time sequential decision making. Active RBC introduced in this dissertation attempts to effectively select queries that lead to more informative observations to ra...
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| Online Access: | http://hdl.handle.net/2047/D20399923 |