Based on the forms in Maxent and Abstraction, I expect (possibly nested) sums of local functions to be the main feature-representation. Figuring out which local functions to sum might be done, in practice, by backing equivalent sums out of a trained neural net, but the net wouldn’t be part of the representation.
Interesting and exciting. Can you reveal more about how you expect it to work?
Based on the forms in Maxent and Abstraction, I expect (possibly nested) sums of local functions to be the main feature-representation. Figuring out which local functions to sum might be done, in practice, by backing equivalent sums out of a trained neural net, but the net wouldn’t be part of the representation.