Nec corporation (20240095558). INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM simplified abstract
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND 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 Possible Prior Art
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095558 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
Simplified Explanation
The information processing apparatus described in the abstract is a system that uses machine learning models to divide an input space into regions, assign probabilities to those regions, calculate sampling probabilities for instances within those regions, and select instances based on those probabilities.
- Region dividing unit: Divides input space into regions and assigns probabilities to each region.
- Probability calculating unit: Calculates sampling probabilities for instances based on the assigned probabilities of the regions.
- Instance selecting unit: Selects instances based on the sampling probabilities calculated for each instance.
Potential Applications
This technology could be applied in various fields such as:
- Predictive analytics
- Anomaly detection
- Recommendation systems
Problems Solved
This technology helps in:
- Efficiently selecting instances for further analysis
- Improving the accuracy of predictions by focusing on relevant instances
- Reducing computational resources required for processing large datasets
Benefits
The benefits of this technology include:
- Enhanced decision-making based on more accurate and relevant data
- Increased efficiency in processing and analyzing data
- Improved performance of machine learning models
Potential Commercial Applications
Potential commercial applications of this technology include:
- Financial services for fraud detection
- Healthcare for patient diagnosis and treatment recommendations
- E-commerce for personalized product recommendations
Possible Prior Art
One possible prior art for this technology could be:
- Research papers on sampling techniques in machine learning algorithms
What are the limitations of this technology in real-world applications?
One limitation of this technology in real-world applications could be the computational resources required to process large datasets efficiently.
How does this technology compare to existing methods for instance selection in machine learning models?
This technology improves upon existing methods by incorporating region-based probability calculations to select instances, leading to more accurate and relevant data selection for analysis.
Original Abstract Submitted
an information processing apparatus of the present disclosure includes: a region dividing unit that divides an instance input space of each of a plurality of machine learning models into a plurality of regions and assigns a probability to each of the division regions; a probability calculating unit that calculates a sampling probability on a predetermined instance belonging to the division region based on the probability assigned to the division region; and an instance selecting unit that selects the predetermined instance based on the sampling probability on the predetermined instance.
