18276290. LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)
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 18276290 titled 'LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The abstract describes a learning device that calculates an estimation target item reference value based on fixed values of estimation target objects. The device acquires learning data including fixed values, variable item values, and estimation target item values, and trains a model using an evaluation function to output estimated values of the estimation target item value.
- Learning device calculates estimation target item reference value based on fixed values of estimation target objects
- Acquires learning data including fixed values, variable item values, and estimation target item values
- Trains a model using an evaluation function to output 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 values of target items based on fixed and variable values, improving decision-making processes.
Benefits
The technology can enhance efficiency, accuracy, and decision-making in various industries by providing reliable estimations of target item values.
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 could be similar machine learning models used in predictive analytics and data science applications.
Unanswered Questions
How does the evaluation function impact the training of the model?
The abstract mentions the use of an evaluation function in training the model, but it does not provide details on how this function influences the learning process.
What are the specific fixed values used in the calculation of the estimation target item reference value?
The abstract mentions the use of fixed values of estimation target objects, but it does not specify what these fixed values are or how they are determined.
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.
