BAYESIAN NETWORK APPROXIMATION PROCESSOR

Title:

BAYESIAN NETWORK APPROXIMATION PROCESSOR

Document Type and Number:

Japanese Patent JP2005165624

Kind Code:

A

Abstract:

To provide a bayesian network approximation processor for performing bayesian network approximation processing.

The processor comprises: a sensitivity data input receiving means for receiving the input of sensitivity data; a validity reference data input receiving means for receiving the input of validity reference data; an input record input receiving means for receiving the input of an input record; an experience record input receiving means for acquiring an experience record; an arithmetic means for calculating the total of multiplication by weighting with the sensitivity data given at every field concerning the input record and the experience record, as validity relative to each experience record at every experience record, classifying the experience records at every kind of validity reference data, and defining the value of an output value field in the experience record classified to high validity reference as output data; and an output means for receiving the output data from the arithmetic means and outputting it.

More Like This:

JP5165717	Dead link determination device and method
WO/2018/022335	PLATFORM SUPPORT CLUSTERS FROM COMPUTER APPLICATION METADATA
WO/2018/157167	METHOD AND SYSTEM FOR THE CONSTRUCTION OF DYNAMIC, NON-HOMOGENEOUS B2B OR B2C NETWORKS

Inventors:

YAMADA TOICHIRO

Application Number:

JP2003403039A

Publication Date:

June 23, 2005

Filing Date:

December 02, 2003

Export Citation:

Click for automatic bibliography generation Help

Assignee:

INTER DB KK

International Classes:

G06F17/30; G06N5/00; G06N5/04; G06N7/00; (IPC1-7): G06N5/04; G06F17/30

Attorney, Agent or Firm:

Hideo Nagoshi
Tetsuro Ikuta
Masatoshi Matsumoto

Previous Patent: AUTOMATIC TICKET GATE DEVICE, PAPER SURFACE INFORMATION PROVISION DEVICE AND PAPER SURFACE INFORMATI...

Next Patent: CARD READER