Mitsubishi electric corporation (20240134870). INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD simplified abstract
Contents
- 1 INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD - 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 Original Abstract Submitted
INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
Organization Name
mitsubishi electric corporation
Inventor(s)
INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134870 titled 'INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
Simplified Explanation
The patent application describes an information processing device that acquires input values, feature words, probability distribution information, and target numerical values to calculate similarity levels between input values and target numerical values.
- Acquisition control unit acquires input value as numerical value and feature word related to input value
- Acquisition control unit acquires probability distribution information corresponding to feature word
- Acquisition control unit acquires a plurality of target numerical values corresponding to feature word
- Calculation unit calculates similarity levels between input value and target numerical values based on input value, probability distribution information, and target numerical values
Potential Applications
This technology could be applied in various fields such as:
- Natural language processing
- Machine learning
- Data analysis
Problems Solved
This technology helps in:
- Efficiently processing and analyzing large amounts of data
- Improving accuracy in similarity calculations
- Enhancing decision-making processes
Benefits
The benefits of this technology include:
- Increased efficiency in data processing
- Enhanced accuracy in similarity calculations
- Improved decision-making capabilities
Potential Commercial Applications
The potential commercial applications of this technology could include:
- Data analytics software
- AI-powered recommendation systems
- Fraud detection systems
Possible Prior Art
One possible prior art for this technology could be:
- Similarity calculation algorithms used in machine learning models
What are the specific features of the acquisition control unit in this technology?
The acquisition control unit in this technology acquires input values as numerical values and feature words related to the input values. It also acquires probability distribution information corresponding to the feature words and a plurality of target numerical values corresponding to the feature words.
How does the calculation unit calculate similarity levels in this technology?
The calculation unit calculates a plurality of similarity levels, each being a level of similarity between the input value and each of the plurality of target numerical values based on the input value, the probability distribution information, and the target numerical values.
Original Abstract Submitted
an information processing device includes an acquisition control unit that acquires an input value as a numerical value and a feature word as a word related to the input value, acquires probability distribution information as information regarding probability distribution and corresponding to the feature word, and acquires a plurality of target numerical values as a plurality of numerical values corresponding to the feature word and a calculation unit that calculates a plurality of similarity levels each being a level of similarity between the input value and each of the plurality of target numerical values based on the input value, the probability distribution information and the plurality of target numerical values.
