公开(公告)号：US11908549B2

公开(公告)日：2024-02-20

申请号：US16646187

申请日：2018-09-21

申请人： KONINKLIJKE PHILIPS N.V.

发明人： Martijn Theodorus Lambert Akse ,  Wilhelmus Franciscus Johannes Verhaegh

IPC分类号： G16B5/20 ,  G16B40/00

CPC分类号： G16B5/20 ,  G16B40/00

摘要： The invention relates to a computer-implemented Bayesian inference method for performing Bayesian inference in a Bayesian network, which includes a continuous child node (3) and its discrete parent node (2) having two states. Being provided with a calibrated continuous probability distribution of the observations of the child node (3) for each of the two states of the parent node (2), the inferring for a new observation of the child node (3) for which the state of the parent node (2) is not known of the probability of at least a first state of the parent node (2) makes use of masses of portions of the probability distributions that depend on a locational relationship of the probability distributions and the value of the new observation. This may ensure that the inferred probability of the first state of the parent node (2) monotonically changes with monotonically changing values of the new observation.