18272959. INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM simplified abstract (NEC Corporation)
Contents
- 1 INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - 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 Original Abstract Submitted
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM
Organization Name
Inventor(s)
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18272959 titled 'INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM
Simplified Explanation
The abstract describes an information processing system that includes an acquisition unit, a calculation unit, a classification unit, and a learning unit. The system is designed to properly select the class to which series data belong from a plurality of classification candidates.
- Acquisition unit obtains a plurality of elements included in series data
- Calculation unit calculates a likelihood ratio based on at least two consecutive elements of the acquired elements
- Classification unit classifies the series data into at least one class of classification candidates based on the likelihood ratio
- Learning unit performs learning related to the calculation of the likelihood ratio using a loss function of a log-sum-exp type
Potential Applications
This technology could be applied in various fields such as:
- Pattern recognition
- Anomaly detection
- Predictive modeling
Problems Solved
This technology helps in:
- Efficient classification of series data
- Improving accuracy in selecting the correct class for the data
Benefits
The benefits of this technology include:
- Enhanced decision-making process
- Increased automation in data classification tasks
- Improved overall system performance
Potential Commercial Applications
Optimizing this technology for commercial use could lead to applications in:
- Financial forecasting
- Medical diagnosis
- Fraud detection
Unanswered Questions
How does this technology handle noisy data in the series?
What are the computational requirements for implementing this system on a large scale?
Original Abstract Submitted
An information processing system includes: an acquisition unit that obtains a plurality of elements included in series data; a calculation unit that calculates a likelihood ratio indicating a likelihood of a class to which the series data belong, on the basis of at least two consecutive elements of the plurality of elements; a classification unit that classifies the series data into at least one class of a plurality of classes that are classification candidates, on the basis of the likelihood ratio; and a learning unit that performs learning related to calculation of the likelihood ratio, by using a loss function of a log-sum-exp type. According to such an information processing system, it is possible to properly select the class to which the series data belong, from a plurality of classes that are classification candidates.
