I've been wondering for a while if a program could "learn" covariance somehow. Through real-world usage.
Otherwise, it feels to me that it'd be consistently wrong to model the variables as independent. And any program of notable size is gonna be far too big to consider correlations between all the variables.
As for how one might do the learning, I don't know yet!
Otherwise, it feels to me that it'd be consistently wrong to model the variables as independent. And any program of notable size is gonna be far too big to consider correlations between all the variables.
As for how one might do the learning, I don't know yet!