Evolutionary psychology is one of many biologically informed approaches to the study of human behavior. Along with cognitive psychologists, evolutionary psychologists propose that much, if not all,… Expand

In this paper we present a language for finite state continuous time Bayesian networks (CTBNs), which describe structured stochastic processes that evolve over continuous time.Expand

The present information explosion on the World Wide Web poses a problem for the general public and the members of an academic discipline alike, of how to find the most authoritative, comprehensive,… Expand

We present an algorithm, based on the Expectation Maximization (EM) algorithm (Dempster et al., 1977), for learning CTBN parameters from partially observable data.Expand

We describe an approximate inference algorithm for continuous time Bayesian networks that allows for general queries conditioned on evidence over continuous time intervals and at discrete time points.Expand

In 1 900 David Hilbert, the preeminent mathematician of his time, chal lenged the world of mathematics with a list of unsolved problems, pre sented in Paris before the International Congress of M… Expand

We present a new expectation-propagation (EP) inference algorithm that utilizes a general cluster graph architecture where clusters contain distributions that can overlap in both space (set of variables) and time.Expand