Revision as of 19:25, 4 August 2013 edit Melemam9 (talk \| contribs) 2 edits M.Elemam.Shehab(Febuary 2013),"A Generic Feature Extraction Model using Learnable Evolution Models (LEM+ID3) ",International Journal of Computer Applications,Volume 64 - Number 11. Tag: Visual edit ← Previous edit		Revision as of 19:31, 4 August 2013 edit undo Melemam9 (talk \| contribs) 2 edits No edit summary Next edit →
Line 3: The [[hypothesis generation]] operator applies a machine learning program to induce descriptions that distinguish between high-[[fitness (biology)\|fitness]] and low-fitness individuals in each consecutive [[population]]. Such descriptions delineate areas in the [[Candidate solution\|search space]] that most likely contain the desirable solutions. Subsequently the instantiation operator samples these areas to create new individuals. LEM has been modified from optimization ___domain to classification ___domain by augmented LEM with ID3.(Febuary 2013 by M.Elemam.Shehab,K.Badran,M.Zaki and Gouda I Salama. == Selected References ==

Learnable evolution model: Difference between revisions