IP Library › Patent Application 18557158
Patent Application
App. No. 18/557,158

PREDICTION APPARATUS, LEARNING APPARATUS, PREDICTION METHOD, LEARNING METHOD AND PROGRAM

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Patent No.
US None
App. No.
18/557,158
Abstract

Provided is a prediction apparatus including a feature extraction unit configured to extract a feature based on past behavior series data of a prediction target and output behavior feature data, a behavior series prediction unit configured to predict a future behavior series of the prediction target based on the behavior feature data using a trained behavior series prediction model for predicting a behavior series, and a mood series prediction unit configured to predict a future mood series of the prediction target based on the behavior feature data and past mood series data of the prediction target using a trained mood series prediction model for predicting a mood series.

Claims (23)

1 . A prediction apparatus comprising:

a memory; and

a processor coupled to the memory and configured to:

extract a feature based on past behavior series data of a prediction target and output behavior feature data;

predict a future behavior series of the prediction target based on the behavior feature data using a trained behavior series prediction model for predicting a behavior series; and

predict a future mood series of the prediction target based on the behavior feature data and past mood series data of the prediction target using a trained mood series prediction model for predicting a mood series.

2 . A learning apparatus comprising:

a memory; and

a processor coupled to the memory and configured to:

extract a feature based on behavior series data of a learning target and output behavior feature data;

construct a mood series prediction model for predicting a mood series; and

update parameters of the constructed mood series prediction model based on the behavior feature data and past mood series data of the learning target.

3 . The learning apparatus according to claim 2 , wherein the processor is configured to update the parameters based on behavior feature data obtained by adding noise to future behavior feature data extracted as data for learning.

4 . The learning apparatus according to claim 2 , wherein the processor is further configured to:

construct a behavior series prediction model for predicting a behavior series; and

update parameters of the behavior series prediction model based on the behavior feature data.

5 . The learning apparatus according to claim 4 , wherein the processor is configured to calculate a negative log likelihood for output behavior series data using values of mean and variance obtained by a network included in the behavior series prediction model and update the parameters based on a calculation result.

6 . A prediction method which is executed by a prediction apparatus, comprising:

extracting a feature based on past behavior series data of a prediction target and outputting behavior feature data;

predicting a future behavior series of the prediction target based on the behavior feature data using a trained behavior series prediction model for predicting a behavior series; and

predicting a future mood series of the prediction target based on the behavior feature data and past mood series data of the prediction target using a trained mood series prediction model for predicting a mood series.

7 . (canceled)

8 . A non-transitory computer-readable recording medium storing a program for causing a computer to perform the method of claim 6 .

Assignments (2)
CHANGE OF NAME Recorded Aug 15, 2025
From: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
To: NTT, INC.
Reel/Frame 072491/0021 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2023
From: YAMAMOTO, SHUHEI; KURASHIMA, TAKESHI; TODA, HIROYUKI; TOMINAGA, TOMU
To: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Reel/Frame 065340/0545 →