alt Hacker NewsThe exponential blowup is in the symbolic regression section, where to search among depth K trees requires 2^K parameters.
As an example, searching for sqrt(x) would require a tree of depth ~40 which is in the trillion-parameter regime.
The exponential blowup is in the symbolic regression section, where to search among depth K trees requires 2^K parameters.
As an example, searching for sqrt(x) would require a tree of depth ~40 which is in the trillion-parameter regime.
But that is not an increase in the expression size, that is the effort for searching for an expression tree that fits some target function. And that is no different from searching an expression based on common functions, that is of course also exponential in the expression tree height. The difference is that a eml-based tree will have a larger height - by some constant factor - than a tree based on common functions. On the other hand each vertex in an eml-tree can only be eml, one, or an input variable whereas in a tree based on common functions each vertex can be any of the supported basis functions - counting constants and inputs variables as nullary functions.