chain of events where the future depends conditionally
only on the present. Example: random walk.
HMM - technical explanation at Brown U
"From the observable sequence [in a Markov chain], infer the most
likely dynamical system. The result is a model for the underlying process."
Lisp
gcl is installed on cs.marlboro.edu
links to resources on the course website
Those interested should start playing around,
perhaps with the NYU tutorial.