Method for computer-aided learning of probabilistic network of dataset of experimentally determined and measured size, involves representing probabilistic network by graph, where variables are assigned on basis of dataset

摘要

The method involves representing a probabilistic network by a graph (AG), where variables are assigned on the basis of a dataset (D) node in the graphs (G1,G2,G3,G4). Multiple graphs with edges (K1-K6) are generated between the nodes (A,B,C) with edge probability distributions (PD,PD'). An independent claim is also included for a computer program product with a machine-readable carrier stored program code.