Operations Research
Sequential Model Criticism in Probabilistic Expert Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probability Intervals Over Influence Diagrams
IEEE Transactions on Pattern Analysis and Machine Intelligence
The logic of representing dependencies by directed graphs
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Inferencing the graphs of causal Markov fields
Mathematical and Computer Modelling: An International Journal
Hi-index | 0.98 |
A directed acyclic graph which underlies a directed Markov field may allow reversals and omissions of arcs without affecting the Markov field. Feasible manipulations of the graph are shown to be related. A construction of the graph starting from scratch is discussed. Also, notions of simplicity are given for approximations of Markov fields.