18420890. INFORMATION PROCESSING DEVICE simplified abstract (NEC Corporation)
Contents
INFORMATION PROCESSING DEVICE
Organization Name
Inventor(s)
INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18420890 titled 'INFORMATION PROCESSING DEVICE
The information processing device described in the patent application includes an acquisition unit, a collection unit, and a setting unit.
- The acquisition unit acquires a model generated for each elapsed period, learned by machine learning to output a measure for a human based on various types of feature values representing the human's condition.
- The collection unit gathers first output obtained when a predetermined number of feature values are input to the model for each elapsed period, as well as second output obtained when only some of the feature values are input.
- The setting unit determines the types of feature values to be associated with the model for each elapsed period based on the first and second outputs.
Key Features and Innovation:
- Machine learning is used to generate models for each elapsed period.
- The device can output a measure for a human based on input feature values.
- Different types of feature values can be associated with the model for each period.
Potential Applications:
- Decision-making assistance for users.
- Personalized recommendations based on input feature values.
- Health monitoring and analysis.
Problems Solved:
- Providing personalized measures for humans based on their condition.
- Optimizing the association of feature values with models.
Benefits:
- Improved decision-making support.
- Enhanced personalization in recommendations.
- Better health monitoring capabilities.
Commercial Applications:
- Healthcare industry for personalized health assessments.
- Marketing for targeted recommendations.
- Financial services for personalized financial advice.
Questions about the technology: 1. How does the machine learning process work in generating models for each elapsed period? 2. What are the specific types of feature values that can be input to the model for analysis?
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for improved model generation.
Original Abstract Submitted
An information processing device of the present disclosure includes: an acquisition unit that acquires a model that is generated for each elapsed period, and has learned by machine learning to output a measure for a human by receiving input of a plurality of types of feature value representing a condition of the human; a collection unit that collects first output that is obtained when a predetermined number of types of feature value are input to the model of each elapsed period, and second output that is obtained when some types of feature value in the predetermined number of types of feature value are input to the model of each elapsed period; and a setting unit that sets, on the basis of the first output and the second output, types to be associated with the model of each elapsed period. Thereby, the information processing device can be used for assistance of decision-making by a user, or the like.
