Patent ID: 8849729
Filing Date: 2014-09-30
Classification: G06N

Abstract:
1. An apparatus for making a probabilistic inference based on a belief network including a child node Y and one or more parent nodes X i (i=1, . . . , n) for the child node Y, the apparatus comprising: a processing system configured to receive as input one or more parameters of a causal influence model that describes influence of the parent nodes X wherein the child node Y and each of the parent nodes X wherein the influence of each of the parent nodes X wherein said each one of the parent nodes X wherein said each one of the parent nodes X wherein the child node Y has a number m of states y wherein the n parent nodes X and wherein x wherein the probability distribution for all possible states of the child node Y comprises a set of values P(y wherein the parameters of the causal influence model comprise at least one of: (i) a baseline probability b wherein the creation function includes a parent influence function V wherein the parent influence function V wherein V where parent node X where and where the value of the parent influence function V