How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
Throughout its history, AI researchers have alternatively seen their mission as producing computer behavior that is indistinguishable from that of humans or as providing computati...
Intuitive use is met when prior knowledge is transferred to new task environments. The empirical fact that transfer relies on schemas led us to diagnose intuitiveness based on sch...
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...