Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

This is a preview. Log in through your library . Abstract We derive conditions under which a set of conditional and marginal probability distributions will uniquely specify an all-positive joint ...