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1. (WO2015045091) METHOD AND PROGRAM FOR EXTRACTION OF SUPER-STRUCTURE IN STRUCTURAL LEARNING OF BAYESIAN NETWORK

Pub. No.:    WO/2015/045091    International Application No.:    PCT/JP2013/076245
Publication Date: Fri Apr 03 01:59:59 CEST 2015 International Filing Date: Sat Sep 28 01:59:59 CEST 2013
IPC: G06N 5/04
Applicants: CAC CORPORATION
株式会社シーエーシー
THE UNIVERSITY OF ELECTRO-COMMUNICATIONS
国立大学法人電気通信大学
Inventors: MORISHITA, Mimpei
森下 民平
UENO, Maomi
植野 真臣
Title: METHOD AND PROGRAM FOR EXTRACTION OF SUPER-STRUCTURE IN STRUCTURAL LEARNING OF BAYESIAN NETWORK
Abstract:
An objective of this embodiment is to provide a CI-based learning method whereby a super-structure having fewer missing edges than conventional is extracted. A program control unit (102) causes a data specification analysis unit (104) to analyze a data specification. The data specification analysis unit (104) accesses a database and acquires and retains the total number of data entries. The program control unit (102) transfers control to a CI-based structure learning unit (106). The CI-based structure learning unit (106) executes CI-based learning according to this embodiment. A designated number of CI-based learning execution threads to be executed in parallel are generated and executed in parallel. A sum set is generated of a set of edges in a graph which is obtained from the completed threads and the set of edges obtained therebefore, said sum being treated as a super-structure.