Hmm.
And th the You know , um neural net approach uh or Gaussian mixtures for that matter are sort of  fairly brute force kinds of things , where you sort of   you predefine that there is this big bunch of parameters and then you  you place them as you best can to define the boundaries , and in fact , as you know ,  these things do take a lot of parameters and  and uh  if you have uh only a modest amount of data , you have trouble  uh learning them. Um , so I  I guess the idea to this is that it  it is reputed to uh be somewhat better in that regard.
Mm - hmm.
Right. I it can be a  a reduced um  parameterization of  of the  the model by just keeping  certain selected examples.