Yeah -- stochastic just implies a probabilistic method. It's just that when you include enough parameters your probabilities start to match the actual space of

Yeah -- stochastic just implies a probabilistic method. It's just that when you include enough parameters your probabilities start to match the actual space of acceptable results really really well. In other words, we started to throw memory at the problem and the results got better. But it doesn't change the fundamentals of the approach.