This report reviews recent research on Learnable Evolution Model (LEM), and presents selected results from its application to the optimization of complex functions and engineering designs. Among the most significant new ...

This paper describes methods for reasoning with missing, irrelevant and not applicable meta-values in the AQ attributional rule learning. The methods address issues of handling these values in datasets both for rule learning ...

The Learnable Evolution Model (LEM) represents a form of non-Darwinian evolutionary computation that is guided by a learning system. Specifically, LEM "genetically engineers" new populations via hypothesis formation and ...

A small number of studies has established risk profiles of childhood obesity by examining the combined effect of pre-and postnatal maternal factors as well as children's characteristics on childhood overweight/obesity

Introduction The 1998 and 2003 Demographic and Health Surveys suggested increasing rates of dissatisfaction with health services in South Africa. The goal of this analysis was to examine national healthcare satisfaction ...