18419976. 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 18419976 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 input of 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 some feature values from the predetermined set are input to the model.
- The setting unit determines, based on the first and second outputs, which types of feature values should be associated with the model for each elapsed period.
Potential Applications: - Decision-making assistance for users based on input data analysis. - Personalized recommendations or predictions for individuals based on their unique feature values.
Problems Solved: - Providing tailored measures or outputs for individuals based on their specific conditions. - Enhancing decision-making processes by utilizing machine learning models.
Benefits: - Improved accuracy in output measures for individuals. - Enhanced user experience through personalized recommendations. - Efficient decision-making support based on data analysis.
Commercial Applications: Title: Personalized Decision-Making Assistance Technology This technology can be utilized in various industries such as healthcare, finance, and marketing to provide personalized recommendations or predictions for individuals. It can also be integrated into consumer-facing applications to enhance user experience and decision-making processes.
Questions about the technology: 1. How does the machine learning model learn to output measures for humans based on input feature values? 2. What are the potential limitations or challenges in implementing this technology in real-world applications?
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.
