EM in Practice

Initial parameters:

• Random parameters setting

• “Best” guess from other source

Stopping criteria:

• Small change in likelihood of data

• Small change in parameter values

Avoiding bad local maxima:

• Multiple restarts

• Early “pruning” of unpromising ones

Speed up:

• various methods to speed convergence

Previous slide

Next slide

Back to first slide

View graphic version