18560610. COMPUTER-IMPLEMENTED METHOD FOR UPDATING A MODEL PARAMETER FOR A MODEL simplified abstract (Siemens Aktiengesellschaft)
Contents
COMPUTER-IMPLEMENTED METHOD FOR UPDATING A MODEL PARAMETER FOR A MODEL
Organization Name
Inventor(s)
Stefan Rothbauer of Augsburg (DE)
Zhensheng Guo of Forstern (DE)
COMPUTER-IMPLEMENTED METHOD FOR UPDATING A MODEL PARAMETER FOR A MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18560610 titled 'COMPUTER-IMPLEMENTED METHOD FOR UPDATING A MODEL PARAMETER FOR A MODEL
The abstract describes a computer-implemented method for updating a model parameter, including a model parameter value and a confidence score, based on accumulated data sets.
- The method involves providing the model parameter, first input data set, and second input data set.
- Statistical significance of the data sets is determined to assess the reliability of the information.
- Updated model parameters are calculated using estimation approaches based on the model parameter and input data sets.
- The determined updated model parameter is then provided as output.
Key Features and Innovation:
- Utilizes accumulated data sets to update model parameters.
- Incorporates statistical significance analysis for data reliability.
- Employs estimation approaches for calculating updated model parameters.
Potential Applications:
- Machine learning algorithms
- Financial forecasting models
- Risk assessment tools
Problems Solved:
- Ensures model parameters are updated accurately and reliably.
- Improves the performance of models by incorporating new data.
Benefits:
- Enhanced accuracy in model predictions.
- Increased confidence in model outputs.
- Improved decision-making based on updated parameters.
Commercial Applications:
- Financial institutions for risk analysis
- Healthcare for predictive modeling
- E-commerce for personalized recommendations
Questions about the Technology: 1. How does this method compare to traditional model parameter updating techniques? 2. What are the potential limitations of using this approach in real-world applications?
Frequently Updated Research: Stay informed about advancements in machine learning algorithms and statistical analysis techniques to enhance the efficiency of model parameter updates.
Original Abstract Submitted
A computer-implemented method for updating a model parameter for a model, wherein the model parameter to be updated includes a model parameter value and a confidence score; including: a. providing the model parameter to be updated, a first input data set with data accumulated since a first or previous update, a second input data set with data accumulated and used for the first or previous update; b. determining a statistical significance of the first input data set and/or the second input data set; c. determining an updated model parameter using an estimation approach based on the model parameter to be updated and the first input data set; d. determining an updated model parameter using an estimation approach based on the model parameter to be updated; e. providing the determined updated model parameter as output. Further, a computing unit and a computer program product are provided.
