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M ACHINE L EARNING ON N EUROIMAGING D ATA L ECTURE 2: I NTRODUCTION - PowerPoint PPT Presentation

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M ACHINE L EARNING ON N EUROIMAGING D ATA L ECTURE 2: I NTRODUCTION TO M ACHINE L EARNING Ilya Kuzovkin AACIMP, August 2014 P REVIOUSLY ON SLIDES P REVIOUSLY ON SLIDES P REVIOUSLY ON SLIDES P REVIOUSLY ON SLIDES _____ data? _____

  1. T IME - FREQUENCY DOMAIN What is one instance in this case? http://fc09.deviantart.net/fs70/i/2011/213/b/a/open_closed_eye__by_hydrofaux-d42e82y.jpg

  2. T IME - FREQUENCY DOMAIN What are the features? http://fc09.deviantart.net/fs70/i/2011/213/b/a/open_closed_eye__by_hydrofaux-d42e82y.jpg

  3. T IME - FREQUENCY DOMAIN What is the dimension of feature space http://fc09.deviantart.net/fs70/i/2011/213/b/a/open_closed_eye__by_hydrofaux-d42e82y.jpg

  4. T IME - FREQUENCY DOMAIN What is the class of this instance? http://fc09.deviantart.net/fs70/i/2011/213/b/a/open_closed_eye__by_hydrofaux-d42e82y.jpg

  5. T IME - FREQUENCY DOMAIN How you obtain test and training set? http://fc09.deviantart.net/fs70/i/2011/213/b/a/open_closed_eye__by_hydrofaux-d42e82y.jpg

  6. P ART III B RAIN - COMPUTER INTERFACE

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