18273522. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE 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 Unanswered Questions
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
Organization Name
Inventor(s)
Daniel Georg Andrade Silva of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18273522 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that receives input samples, transforms responses into transformed samples based on covariates and an unbiased parameter, and maximizes the distribution of the transformed samples to estimate a dispersion parameter.
- Input means receives input samples with responses and covariates
- Statistic calculation means transforms responses into transformed samples using a function dependent on covariates and an unbiased parameter
- Distribution of transformed samples depends only on a dispersion parameter
- Optimization means maximizes the distribution of transformed samples to estimate the dispersion parameter
Potential Applications
This technology could be applied in various fields such as data analysis, statistical modeling, and machine learning.
Problems Solved
This technology helps in accurately estimating dispersion parameters in statistical calculations, leading to more reliable results and predictions.
Benefits
The information processing apparatus provides a more efficient and accurate way of analyzing data and making informed decisions based on the estimated dispersion parameter.
Potential Commercial Applications
- Statistical software development for data analysis
- Financial modeling and risk assessment tools development
Unanswered Questions
How does the optimization process work in maximizing the distribution of transformed samples?
What are the specific industries or sectors that could benefit the most from this technology?
Original Abstract Submitted
An information processing apparatus () is disclosed. The information processing apparatus () includes an input means (), a statistic calculation means () and an optimization means (). The input means () receives input samples including responses and covariates. The statistic calculation means () transforms the responses into transformed samples using a function depending on the covariates and an unbiased parameter. A distribution of the transformed samples only depends on a dispersion parameter. The optimization means () maximizes a distribution of the transformed samples to determine an estimate of the dispersion parameter.
