3 ms·

Can someone who understands this explain it? I tried to read the article, and it felt like there wasn't enough math there to explain what they were trying to do

• poppingtonic 11y ago
  Bayesian Program Learning is probably the most powerful of the technologies that come with the use of fully probabilistic programming languages. This is a subset of a technique known as "probabilistic generative modelling", in which one designs a model based on inference algorithms like MCMC or Particle Cascade, that generates samples based on some simple rule. You can learn more from a pretty good online book called Probabilistic Models of Cognition: https://probmods.org/ https://probmods.org/, also here: http://www.robots.ox.ac.uk/~fwood/anglican/ http://www.robots.ox.ac.uk/~fwood/anglican/ and here: http://probabilistic-programming.org/wiki/Home http://probabilistic-programming.org/wiki/Home.
  • bmer 11y ago
    Very cool, thanks!
• jamessb 11y ago
  For papers in 'general interest' or biological journals, the mathematical details necessary to understand what was actually done usually go in Supplementary Materials, rather than the paper itself: https://www.sciencemag.org/content/suppl/2015/12/09/350.6266.1332.DC1/Lake-SM.pdf https://www.sciencemag.org/content/suppl/2015/12/09/350.6266...