Machine learning method and information processing apparatus

Patent metadata

Field	Value
Publication number	US-2020160216-A1
Application number	US-201916661358-A
Country	US
Kind code	A1
Filing date	Oct 23, 2019
Priority date	Nov 21, 2018
Publication date	May 21, 2020
Grant date	—

Abstract

A machine learning method includes: generating, by a computer, a sine wave using a basic period of input data having a periodic property; determining a sampling period based on a degree of roundness of an attractor generated from the sine wave; sampling the input data at the determined sampling period to generate a pseudo attractor; and performing a machine learning by using the pseudo attractor.

First claim

What is claimed is:

1 . A machine learning method, comprising:
generating, by a computer, a sine wave using a basic period of input data having a periodic property; determining a sampling period based on a degree of roundness of an attractor generated from the sine wave; sampling the input data at the determined sampling period to generate a pseudo attractor; and performing a machine learning by using the pseudo attractor.

2 . The machine learning method according to claim 1 , further comprising:
setting intervals for extracting data; extracting data from the sine wave by using each of the intervals; generating an attractor for each of the intervals by using the extracted data; and determining the sampling period based on the degree of roundness of the attractor that corresponds to each of the intervals.

3 . The machine learning method according to claim 2 , further comprising:
calculating a variance value of a radius of the attractor that corresponds to each of the intervals; and determining, as the sampling period, an interval at which the variance value becomes smallest.

4 . A non-transitory computer-readable recording medium having stored therein a program for causing a computer to execute a process, the process comprising:
generating a sine wave using a basic period of input data having a periodic property; determining a sampling period based on a degree of roundness of an attractor generated from the sine wave; sampling the input data at the determined sampling period to generate a pseudo attractor; and performing a machine learning by using the pseudo attractor.

5 . An information processing apparatus comprising:
a memory; and a processor coupled to the memory and the processor configured to: generate a sine wave using a basic period of input data having a periodic property; determine a sampling period based on a degree of roundness of an attractor generated from the sine wave; sample the input data at the determined sampling period to generate a pseudo attractor; and perform a machine learning by using the pseudo attractor.

Assignees

• Fujitsu Ltd

Inventors

• Tsunoda Tomoyuki
• Ikai Yoshiaki
• Kaneko Junji

Classifications

• G06N20/00 Primary

  Machine learning · CPC title

• G06N3/0499

  Feedforward networks · CPC title

• G06N3/0895

  Weakly supervised learning, e.g. semi-supervised or self-supervised learning · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06N20/10

  using kernel methods, e.g. support vector machines [SVM] · CPC title