recurrent neural network

  1. N

    Can I use a set of LSTMs to simulate counterfactual states?

    Motivation: I have a system comprised of three probabilistic boolean timeseries and I want to simulate how two of them would react, if a certain intervention would take place (lets say, timeseries 1 can be influenced and will definitely be "0" for the next 6 observations). (The managerial...
  2. B

    determining the most probable permutation of a set

    Is there any way to determine the most probable permutation of any given set? For example, given the set of letters SKTANH, is there a way to compute that the most probable sequence of these letters is THANKS? The background behind this question: I've trained a recurrent neural network on...