Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals
نویسندگان
چکیده
منابع مشابه
Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals
We introduce a probabilistic model that combines a classifier with an extra reinforcement signal (RS) encoding the probability of an erroneous feedback being delivered by the classifier. This representation computes the class probabilities given the task related features and the reinforcement signal. Using expectation maximization (EM) to estimate the parameter values under such a model shows t...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2012
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00348