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[Document] Randomforestsinnon

It mainly talks about the application research of Random Forest (RF) in brain-computer interface, and discusses three aspects: parameterization, online applicability and comparison with regularized LDA performance. The final results show that RF performance is constant over a wide range of parameters and has on-line applicability. In off-line BCI simulations, RF results are 3% higher than regularized LDA. (2019-05-14, Others, 898KB, Downloads 0)


[Document] AgeofPatron

Header .h For ZoneServer RF online (2019-01-24, Visual C++, 2040KB, Downloads 0)


[Document] rfonlineSourcecode

RF online Source Code (2010-08-03, Visual C++, 3667KB, Downloads 23)