345 citations · 643 across the 16 of their papers we have counts for
16 papers · 1 filter
Sidestepping the Triangulation Problem in Bayesian Net Computations
Nevin Lianwen Zhang, David L. Poole
This paper presents a new approach for computing posterior probabilities in Bayesian nets, which sidesteps the triangulation problem. The current state of art is the clique tree pr…
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams
Nevin Lianwen Zhang, Runping Qi, David L. Poole
To determine the value of perfect information in an influence diagram, one needs first to modify the diagram to reflect the change in information availability, and then to compute…
Inter-causal Independence and Heterogeneous Factorization
Nevin Lianwen Zhang, David L Poole
It is well known that conditional independence can be used to factorize a joint probability into a multiplication of conditional probabilities. This paper proposes a constructive d…
Solving Asymmetric Decision Problems with Influence Diagrams
Runping Qi, Nevin Lianwen Zhang, David L. Poole
While influence diagrams have many advantages as a representation framework for Bayesian decision problems, they have a serious drawback in handling asymmetric decision problems. T…
Inference with Causal Independence in the CPSC Network
Nevin Lianwen Zhang
This paper reports experiments with the causal independence inference algorithm proposed by Zhang and Poole (1994b) on the CPSC network created by Pradhan et al. (1994). It is foun…
Fast Value Iteration for Goal-Directed Markov Decision Processes
Nevin Lianwen Zhang, Weihong Zhang
Planning problems where effects of actions are non-deterministic can be modeled as Markov decision processes. Planning problems are usually goal-directed. This paper proposes sever…