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 ...

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.

“A better model for determining essentiality, in the author’s opinion, is a probabilistic model that tries to estimate the likelihood of a portfolio to be infringed, valid and/or essential.” In recent ...