Bayesian Learning (cont.)

CSC 261 - Artificial Intelligence - Weinman



Answer the following questions. Record your answers in your Reading Journal.
  1. In explaining supervised learning, Russell and Norvig write (p. 696).
    Sometimes the function f is stochastic it is not strictly a function of x, and what we have to learn is a conditional probability distribution, P(Y|x).
Write a short letter to Russell and Norvig1 as if you were E.T. Jaynes, explaining why this exposition could be interpreted as an example of Jaynes's Mind Projection Fallacy.

Footnotes:

1Not in real life! Simply post your imagined epistle to your reading journal.