Some Resource from Last Year

I just dug out some old resource from last year. They might give you some insight to what STEM
students have came across last year.

Video resource:

http://videolectures.net/bbci09_blankertz_muller_mlasp/

Problems they have encountered:

Questions: How do we perform linear discriminant analysis (LDA) on filtered alpha and beta waves to produce a coefficient necessary for  proper data collection?

Problems:

-Unable to determine the proper utilization of the <Identity> function. <Identity> function is required when using a (.ov) file but not with a (.csv) file stimulation, which required input and output assignments, are only integrated into the (.ov) file. 

-Unclear about the function of <Feature Aggregator>

 

-Parameters for the <Classifier Trainer> are not determined because of limited knowledge on the processing and organization of data

Ex. What are the functions 

Classifier Trainer(

"Multiclass Strategy"

"Train Trigger"

"K-Fold Cross Validation Test"

"Class Label" 

)

What We have: 

Filtered Data 

Some knowledge on LDA

Displaying Data

Creation of .ov and .csv files 

Essentially, how do we configure <Classifier Trainer> settings to get proper coefficients. Is there a method to verify the accuracy of out data and of the coefficients.

Classifier XML file:

 https://drive.google.com/a/erhsnyc.net/file/d/0B4er4OWY8aPMSFF1R05ZMXBXd2M/view?usp=sharing