Can’t you make a compounded feature (or features), i.e. use the kernel trick?
Alexander > 25 feb. 2016 kl. 17:06 skrev Russ, Daniel (NIH/CIT) [E] <[email protected]>: > > Hi, > Is it possible to change the prior based on a feature? > > For example, if I have the follow data (very simplified) > > Class, Predicates > > A, X > A, X > B, X > > You would expect class A 2/3 of the time when the feature is just predicate X. > > However, lets say I know that another feature Y that can take values {Q,R,S). > P(A|Q)=0.8;P(A|R)=0.1;P(A|S)=0.3. > > Is there any way to add feature Y to the classifier taking advantage of this > information? > Thanks > Dan > >
