Title:
LEARNING DEVICE, LEARNING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2021/053776
Kind Code:
A1
Abstract:
The present invention is characterized by having: a calculation means that accepts input of a first set of data having a label added thereto and a second set of data having no labels added thereto, and calculates the value of a prescribed objective function that represents an evaluation index for cases where a false positive rate is within a prescribed range and a differential value pertaining to parameters of the objective function; and an update means that updates the parameters, using the value of the objective function and the differential value that were calculated by the calculation means, so as to maximize or minimize that the value of the objective function.
Inventors:
IWATA TOMOHARU (JP)
Application Number:
PCT/JP2019/036651
Publication Date:
March 25, 2021
Filing Date:
September 18, 2019
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G06N20/00
Foreign References:
| JP2017102540A | 2017-06-08 |
Other References:
SAKAI TOMOYA: "Semi-Supervised AUC Optimization Based on Positive-Unlabeled Learning", IEICE TECHNICAL REPORT, vol. 117, no. 293, 2 November 2017 (2017-11-02), pages 39 - 46, ISSN: 0913-5685
Attorney, Agent or Firm:
ITOH, Tadashige et al. (JP)
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