CPC G06N 7/01 (2023.01) [G06F 18/214 (2023.01); G06F 18/2113 (2023.01); G06F 18/22 (2023.01)] | 19 Claims |
1. A method, comprising:
receiving output from a deep probabilistic logic module in response to running an initial set of virtual evidence through the deep probabilistic logic module;
using the output to automatically determine at least one factor as new virtual evidence for use with the deep probabilistic logic module based on a score for the at least one factor, wherein the at least one factor is a function of observed data;
applying a score function to generate the score for each factor in a set of factors to use with the deep probabilistic logic module, wherein the score function is a function of the output of the deep probabilistic logic module and a factor template to add to a factor graph of the deep probabilistic logic module; and
adding the new virtual evidence to the deep probabilistic logic module based on the score.
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