hey, that looks fun.
What if we set up a Naive Bayes model to compute the probability that some object followed a particular trajectory, given a bunch of detector measurements made from different locations at different times?
With sufficiently extreme assumptions we can force it into the form of an LP.
this doesn't work particularly well, and the code is bad, but it is sort of entertaining.
