13 Co-training classically relies on two views of the data -redundant feature sets that allow different algorithms to label examples for each other, yielding "probably approximately correct" (PAC)-style guarantees under certain (strong) assumptions.
lateen EM uses the same data, features, model and essentially the same algorithms, changing only their objective functions: it makes no assumptions, but guarantees not to harm the primary objective.