Organizations confronting malicious, negligent and unintentional threats from their trusted insiders must make important policy, structural and procedural decisions as they stand up programs to ...

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...

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 ...