Nec corporation (20240119296). LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
Takashi Takenouchi of Saitama (JP)
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119296 titled 'LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The abstract describes a patent application for a learning device that calculates an estimation target item reference value based on fixed values of estimation target objects. The device acquires learning data containing fixed values, variable item values, and estimation target item values, and then trains a model using this data and an evaluation function to output estimated values of the estimation target item value.
- Learning device calculates estimation target item reference value
- Acquires learning data with fixed values, variable item values, and estimation target item values
- Trains a model using learning data and evaluation function
- Outputs estimated values of the estimation target item value
Potential Applications
This technology could be applied in various fields such as finance, inventory management, and predictive analytics.
Problems Solved
This technology helps in accurately estimating target item values based on fixed and variable values, improving decision-making processes.
Benefits
The benefits of this technology include improved accuracy in estimations, enhanced forecasting capabilities, and optimized resource allocation.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced forecasting tools for businesses.
Possible Prior Art
One possible prior art for this technology could be existing machine learning models used for predictive analytics in various industries.
Unanswered Questions
How does the learning device handle outliers in the data during training?
The abstract does not provide information on how the learning device deals with outliers in the data during the training process.
What is the computational complexity of the model trained by the learning device?
The abstract does not mention the computational complexity of the model trained by the learning device.
Original Abstract Submitted
a learning device calculates an estimation target item reference value according to a fixed value of each estimation target object. the learning device acquires learning data that includes the fixed value of each estimation target object, a variable item value, and an estimation target item value according to the fixed value and the variable item value. the learning device trains, using the learning data and an evaluation function, a model that outputs an estimated value of the estimation target item value in response to input of the fixed value of each estimation target object and the variable item value.
