So for my class project I 'm  um   I 'm tinkering with uh support vector machines ? something that we learned in class , and uh um basically just another method for doing classification. And so I 'm gonna apply that to  um compare it with the results by um King and Taylor who did  um these um using recurrent neural nets , they recognized  um  a set of phonological features um and made a mapping from the MFCC 's to these phonological features , so I 'm gonna  do a similar thing with   with support vector machines and see if
So what 's the advantage of support vector machines ? What
Um. So , support vector machines are  are good with dealing with a less amount of data
Hmm.