Self-determinism: alloBMT for AML.

摘要

In probability theory, a stochastic or I random process is the counterpart to a deterministic process.... Instead of dealing with only one possible reality of how the process might evolve over time (eg, solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions."To simplify, how can one quantify complicated processes for which there is uncertainty, often at each process step or transition? Andrei Andreyevich Markov, a Russian mathematician, is the father of understanding and quantifying stochastic processes; decision processes that contain elements of uncertainty are often named after him. An online tutorial discusses partially observable MDPs.