56 citations · 112 across the 3 of their papers we have counts for
3 papers
cs.AI2012★ 13 cited
Continuous Time Markov Networks
Tal El-Hay, Nir Friedman, Daphne Koller +1
A central task in many applications is reasoning about processes that change in a continuous time. The mathematical framework of Continuous Time Markov Processes provides the basic…
cs.AI2012★ 56 cited
Gibbs Sampling in Factorized Continuous-Time Markov Processes
Tal El-Hay, Nir Friedman, Raz Kupferman
A central task in many applications is reasoning about processes that change over continuous time. Continuous-Time Bayesian Networks is a general compact representation language fo…
cs.AI2012★ 43 cited
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Ido Cohn, Tal El-Hay, Nir Friedman +1
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact re…