Toyota jidosha kabushiki kaisha (20240303542). METHOD AND INFORMATION PROCESSING APPARATUS simplified abstract
Contents
METHOD AND INFORMATION PROCESSING APPARATUS
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
METHOD AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303542 titled 'METHOD AND INFORMATION PROCESSING APPARATUS
The abstract describes a system where a first information processing apparatus transmits information to multiple second information processing apparatuses to evaluate a machine learning model. The second apparatuses provide evaluation values based on the parameters acquired from the first apparatus, which are then aggregated and used to update the machine learning model.
- The first information processing apparatus transmits information to multiple second apparatuses for evaluating a machine learning model.
- The second apparatuses provide evaluation values based on the parameters acquired from the first apparatus.
- The first apparatus aggregates the evaluation values and updates the machine learning model accordingly.
- This system allows for collaborative evaluation and updating of machine learning models.
- It streamlines the process of improving machine learning models by leveraging multiple sources of evaluation data.
Potential Applications: - This technology can be used in various industries such as healthcare, finance, and marketing for optimizing machine learning models. - It can enhance the efficiency and accuracy of predictive analytics systems. - Companies can use this system to continuously improve their machine learning algorithms for better performance.
Problems Solved: - Streamlines the process of evaluating and updating machine learning models. - Allows for collaborative feedback from multiple sources. - Enhances the overall performance and accuracy of machine learning algorithms.
Benefits: - Improved efficiency in updating machine learning models. - Enhanced accuracy and performance of predictive analytics systems. - Facilitates continuous improvement and optimization of machine learning algorithms.
Commercial Applications: Title: "Enhancing Machine Learning Model Evaluation and Optimization" This technology can be commercially applied in industries such as healthcare, finance, and e-commerce for improving predictive analytics systems and optimizing machine learning algorithms. It can lead to more accurate predictions, better decision-making processes, and increased efficiency in data analysis.
Questions about the technology: 1. How does this system improve the overall performance of machine learning models? 2. What are the potential challenges in implementing this collaborative evaluation system in real-world applications?
Original Abstract Submitted
a first information processing apparatus transmits first information used for acquiring values of parameters of a machine learning model to a plurality of second information processing apparatuses. the plurality of the second information processing apparatuses acquire an evaluation value of the machine learning model when the value of the parameters acquired based on the first information is applied to the machine learning model, and transmit the evaluation value to the first information processing apparatus. the first information processing apparatus aggregates a plurality of evaluation values received from the plurality of the second information processing apparatuses, and transmits the aggregate result of the evaluation values to the plurality of the second information processing apparatuses. the first information processing apparatus and the plurality of the second information processing apparatuses update the machine learning model based on the aggregate result of the evaluation values.
