FMR had one patent in cloud during Q1 2024. The patent filed by FMR LLC in Q1 2024 describes methods and apparatuses for intelligent imputation of missing data in a machine learning dataset. The server analyzes the dataset to generate characteristics of the missing values and selects an imputation algorithm based on these characteristics. The server then determines the computing environment for executing the algorithm, generates code for executing the algorithm, and integrates it into an ML platform for assigning replacement values to the missing data. GlobalData’s report on FMR gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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FMR had no grants in cloud as a theme in Q1 2024.
Recent Patents
Application: Intelligent generation of code for imputation of missing data in a machine learning dataset (Patent ID: US20240069874A1)
The patent filed by FMR LLC describes methods and apparatuses for intelligent imputation of missing data in a machine learning dataset. The system involves analyzing the dataset to generate characteristics of the missing values, selecting an imputation algorithm based on these characteristics, determining a computing environment for executing the algorithm, generating code for the imputation process, and integrating the code into a machine learning platform to assign replacement values to the missing data. The method also includes receiving datasets from remote devices, analyzing missing value distributions, and selecting appropriate imputation algorithms based on the dataset's characteristics.
The system further involves determining the computing environment based on the dataset size, generating code based on user-specified output file formats, and integrating the code into a machine learning platform for data processing. The patent outlines a detailed process for analyzing missing values, selecting algorithms, and executing imputation based on various dataset characteristics, such as distribution, type of missing values, and problem type. Additionally, the system allows for flexibility in handling different types of missing data and efficiently integrating the imputation process into existing machine learning platforms.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
