18221120. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM simplified abstract (NEC Corporation)
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 Unanswered Questions
- 1.11 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 18221120 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
Simplified Explanation
The patent application describes an information processing apparatus that includes a region dividing unit, a probability calculating unit, and an instance selecting unit to improve machine learning models.
- The region dividing unit divides the input space of machine learning models into regions and assigns probabilities to each region.
- The probability calculating unit determines a sampling probability for a specific instance based on the assigned probabilities.
- The instance selecting unit chooses the specific instance based on the sampling probability.
Potential Applications
This technology could be applied in various fields such as image recognition, natural language processing, and autonomous driving systems.
Problems Solved
This technology helps in improving the accuracy and efficiency of machine learning models by selecting instances strategically for training and prediction.
Benefits
- Enhanced performance of machine learning models - Better utilization of computational resources - Increased accuracy in predictions
Potential Commercial Applications
- Healthcare for medical image analysis - Finance for fraud detection - E-commerce for personalized recommendations
Possible Prior Art
One possible prior art could be the use of sampling techniques in machine learning to improve model training and prediction accuracy.
Unanswered Questions
How does this technology compare to existing sampling methods in machine learning?
This article does not provide a direct comparison with other sampling techniques commonly used in machine learning.
What is the computational overhead of implementing this technology in real-world applications?
The article does not address the potential computational costs associated with deploying this technology in practical settings.
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.
