JP2017083990A5 - - Google Patents

Claims (10)

Data acquisition means for acquiring input data;
First classification means for classifying the input data using a first classifier and outputting a classification result;
A second classification means for classifying the input data using a second classifier and outputting a classification result;
Information providing means for generating information representing the certainty level based on the plurality of classification results and outputting the information together with the classification results;
Have
The second classifier is a classifier learned to have a lower precision than the first classifier.
Information providing device. The plurality of classifiers are two-class classifiers that output the presence or absence of a specific event based on the input data,
The information providing means outputs a higher degree of certainty as the classifier that has made an affirmative determination with respect to the specific event is a classifier having a higher precision.
The information providing apparatus according to claim 1. The first classifier is a classifier that has been trained to maximize the precision,
The second classifier is a classifier that has been learned so as to maximize the recall.
The information providing apparatus according to claim 2. When the first classifier makes an affirmative determination, the information providing means outputs a classification result in an assertive expression.
The information providing apparatus according to claim 2 or 3. When the first classifier makes a negative determination and the second classifier makes a positive determination, the information providing means is a non-deterministic expression output by the second classification means. Output the result,
The information providing apparatus according to claim 2. Conformance rate, the first classifier and by using a third classifier learned the second classifier intermediate and so as to classify the input data, the third classification of outputting a classification result Further having means ,
The information providing apparatus according to claim 2. Learning means for learning the first classifier and the second classifier;
The learning means includes
Train the first classifier to maximize the precision,
Train the second classifier to maximize the recall;
The information providing apparatus according to claim 2. An information providing method performed by a computer having a first classifier and a second classifier,
Obtaining input data;
Classifying the input data using a first classifier and obtaining a classification result;
Classifying the input data using a second classifier and obtaining a classification result;
Generating information representing certainty based on the plurality of classification results, and outputting the information together with the classification results;
Including
The second classifier is a classifier learned to have a lower precision than the first classifier.
Information provision method.   The program which makes a computer perform each step of the information provision method of Claim 8. Data acquisition means for acquiring input data;
A two-class classifier that outputs the presence / absence of a specific event based on the input data, and a plurality of classifiers having different precision and recall,
Classifying means for classifying the input data using the plurality of classifiers and obtaining a plurality of classification results;
Information providing means for generating information representing a certainty factor and outputting together with the classification result based on the matching rate of the classifier that has made an affirmative determination with respect to the specific event;
An information providing apparatus.