18395860. INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD simplified abstract (Mitsubishi Electric Corporation)

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INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD

Organization Name

Mitsubishi Electric Corporation

Inventor(s)

Kotaro Otomura of Tokyo (JP)

INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18395860 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 values and feature words
  • Acquisition control unit acquires probability distribution information corresponding to feature words
  • Acquisition control unit acquires target numerical values corresponding to feature words
  • Calculation unit calculates similarity levels between input values and target numerical values based on input values, 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, and pattern recognition.

Problems Solved

This technology helps in efficiently processing and analyzing numerical and textual data to determine similarity levels between different data points.

Benefits

The device can provide valuable insights and patterns in data analysis tasks, leading to improved decision-making processes and enhanced efficiency in various applications.

Potential Commercial Applications

  • Data analysis software
  • Natural language processing tools
  • Machine learning algorithms

Possible Prior Art

One possible prior art could be a similar information processing device that calculates similarity levels between data points using different algorithms and techniques.

What are the specific algorithms used in calculating similarity levels in this technology?

The specific algorithms used in calculating similarity levels in this technology are not mentioned in the abstract. Further details on the algorithms employed would provide a deeper understanding of the processing methods involved.

How does this technology handle large datasets and ensure efficient processing?

The abstract does not mention how this technology handles large datasets and ensures efficient processing. Exploring the scalability and performance aspects of the device would shed light on its capabilities in handling big data challenges.


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.