he " AND 's " between these different  features. It 's a soft " AND " , I guess but in  in principle  you  you wanna get a strong concurrence of all the different things that indicate something and then he " OR 's " across the different  soft " OR 's " across the different uh  multi - band channels. And um  the weight yeah , the target for the training of the " AND "  " AND ' ed " things  is something that 's kept  uh as a hidden variable , and is learned with EM. Whereas what we were doing is  is uh  taking  the phone target and then just back propagating from that
So he doesn't have
which means that it 's   it 's uh i It could be for instance  that for a particular point in the data  you don't want to um uh train a particular band  train the detectors for a particular band. You  you wanna ignore  that band , cuz that 's a  Ban - band is a noisy  noisy measure.
Mm - hmm.