Title:
FEATURE NETWORK EXTRACTION DEVICE, COMPUTER PROGRAM, FEATURE NETWORK EXTRACTION METHOD, AND BAYESIAN NETWORK ANALYSIS METHOD
Document Type and Number:
Japanese Patent JP2021111141
Kind Code:
A
Abstract:
To provide a feature network extraction device, a computer program, a feature network extraction method, and a Bayesian network analysis method capable of evaluating the relationship between samples or groups of samples in an estimated Bayesian network.SOLUTION: In the feature network extraction device, a processor assigns data to required nodes of a Bayesian network representing dependency relationships among a plurality of nodes to which each random variable is assigned using an acyclic directed graph. When calculating posterior probability of the nodes based on the assigned data, a calculation unit calculates a feature value of a link from a parent node to a child node based on a predetermined model that constitutes conditional probability when the probability variable of the parent node is given, so that a feature network is extracted from the Bayesian network based on the calculated feature values.SELECTED DRAWING: Figure 34
Inventors:
OKUNO YASUSHI
TAMADA YOSHINORI
TAMADA YOSHINORI
Application Number:
JP2020002923A
Publication Date:
August 02, 2021
Filing Date:
January 10, 2020
Export Citation:
Assignee:
UNIV KYOTO
International Classes:
G06N7/00
Attorney, Agent or Firm:
Hideno Kono
Nobuo Kono
Nobuo Kono