Patent ID: 11908549
Assignee: KONINKLIJKE PHILIPS N.V.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented Bayesian inference method for performing Bayesian inference in a Bayesian network, which includes a continuous child node and discrete parent node of the child node, the discrete parent node having two states, wherein the computer-implemented Bayesian inference method comprises:
a) providing continuous probability distributions of observations of the child node fore the two states of the parent node, respectively, based on values of observations of the child node for which the states of the parent node are known, wherein the probability distributions comprise a lower-located probability distribution at a relatively lower location with respect to the values of the observations of the child node and a higher-located probability distribution at a relatively higher location with respect to the values of the observations of the child node; and
b) inferring for a new observation of the child node, for which the state of the parent node is not known, a probability of at least a first state of the two states of the parent node, wherein the inferring includes calculating (i) for the lower-located probability distribution, a mass of a portion of the lower-located probability distribution that is larger than a value of the new observation of the child node and (ii) for the higher-located probability distribution, a mass of a portion of the richer-located probability distribution that is smaller than the value of the new observation of the child node, and calculating the probability of the first state based on the calculated masses.