In practice you don’t usually know exactly how the balls got into the urn. In that case you have a set of models for what might have happened, with a prior probability distribution over them. As you observe the sequences, you update the probabilities for these models. How does that fit into this inductive bias framework?
In practice you don’t usually know exactly how the balls got into the urn. In that case you have a set of models for what might have happened, with a prior probability distribution over them. As you observe the sequences, you update the probabilities for these models. How does that fit into this inductive bias framework?