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United States Patent Application 20100241598  
Kind Code  A1  
YUTA; Kotaro  September 23, 2010  

METHOD, PROGRAM, AND APPARATUS FOR GENERATING TWO-CLASS CLASSIFICATION/PREDICTION MODEL 


Abstract
A two-class classification/prediction model is generated in a simple operation by performing two-class classification with a classification rate substantially close to 100%. The two-class classification/prediction model 
is generated by a) obtaining a discriminant function for classifying a training sample set into two predetermined classes on the basis of an explanatory variable generated for each sample contained in the training sample 
set, b) calculating a discriminant score for each training sample by using the obtained discriminant function, c) determining, based on the calculated discriminant score, whether the training sample is correctly classified 
or not, d) determining a misclassified-sample region based on maximum and minimum discriminant scores taken from among misclassified samples in the training sample set, e) constructing a new training sample set by 
extracting the training samples contained in the misclassified-sample region, and f) repeating a) to e) for the new training sample set. 


Inventors: YUTA; Kotaro; (Narashino, JP)  
Correspondence Address:      STAAS & HALSEY LLP
    SUITE 700, 1201 NEW YORK AVENUE, N.W.
    WASHINGTON
    DC
    20005
    US

 
Assignee: FUJITSU LIMITED
Kawasaki
JP

 
Serial No.:  795078 
Series Code:  12  
Filed:  June 7, 2010 

Current U.S. Class: 706/12  
Class at Publication: 706/12  
International Class:  G06F 15/18 20060101 G06F015/18