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Table 3:
Results of “The BCI Competition II.”
RankError (%)Research labClassification method
11.3 MIT Discriminant analysis 
11.6 Fraunhofer FIRST (IDA) Regularized discriminant analysis 
11.9 National Taiwan University Support vector machine 
15.0 National Taiwan University Nonlinear support vector machine 
15.7 University of Florida Hidden Markov model with 10 states 
17.1 Yale University Support vector machine 
17.4 University of Tübingen Linear discriminant analysis 
17.8  Regularized linear Fisher discriminant 
19.1 University of Florida Majority vote of different five methods 
10 19.8 University of Florida Recursive multi-layer perceptron 
11 23.5 Sahand University of Technology Neural network 
12 24.6 Technical University of Graz Multi-layer perceptron 
13 34.5 University of Florida Time-delay neural network predictor 
14 46.8 University of Florida Nonparametric Bayes classifier 
15 49.1 University of Lille Stochastic algorithm (GloBo) 
RankError (%)Research labClassification method
11.3 MIT Discriminant analysis 
11.6 Fraunhofer FIRST (IDA) Regularized discriminant analysis 
11.9 National Taiwan University Support vector machine 
15.0 National Taiwan University Nonlinear support vector machine 
15.7 University of Florida Hidden Markov model with 10 states 
17.1 Yale University Support vector machine 
17.4 University of Tübingen Linear discriminant analysis 
17.8  Regularized linear Fisher discriminant 
19.1 University of Florida Majority vote of different five methods 
10 19.8 University of Florida Recursive multi-layer perceptron 
11 23.5 Sahand University of Technology Neural network 
12 24.6 Technical University of Graz Multi-layer perceptron 
13 34.5 University of Florida Time-delay neural network predictor 
14 46.8 University of Florida Nonparametric Bayes classifier 
15 49.1 University of Lille Stochastic algorithm (GloBo) 
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