More Robust ensemble regression

How do I add different nonlinear "weak learner" to ensemble regression learning?

A perfect example is the SuperLeaner algorithm implement in the "R" language.

Many different types from regression models are included from basic polynomial to Gaussian Process Models.

Any thoughts on how to efficiently implement "SuperLeaner" in MatLab would be appreciated.