Evolvability (learning theory)

cosmos 16th June 2017 at 9:12pm
Computational learning theory

Valiant's quantitative model of Evolution

Paper

Basic difference with Probably approximately correct are that:

  • the hypotheses for the next learning step are chosen from within a polynomially-sized pool (called a neighbourhood), which is generated in a way independent of the samples.
  • the selection of the next hypothesis from this pool is done with knowledge only of the average performance on the sample at that training step.

How can evolution learnresponse to replies