Company Filing History:
Years Active: 2019-2022
Title: Thomas Breidt: Innovator in Predictive Modeling Technologies
Introduction
Thomas Breidt is a notable inventor based in Munich, Germany. He has made significant contributions to the field of predictive modeling, particularly in the areas of data imputation and outlier removal. With a total of 5 patents to his name, Breidt continues to push the boundaries of technology and innovation.
Latest Patents
One of his latest patents is titled "Method and system for adaptively imputing sparse and missing data for predictive models." This patent describes an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data. Another significant patent is "Method and system for adaptively removing outliers from data used in training of predictive models." This patent outlines an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental event conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.
Career Highlights
Thomas Breidt is currently employed at Oracle International Corporation, where he applies his expertise in predictive modeling technologies. His work focuses on enhancing the efficiency and accuracy of machine learning systems through innovative data handling techniques.
Collaborations
Throughout his career, Breidt has collaborated with talented individuals such as Michael Zoll and Yaser I Suleiman. These collaborations have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Thomas Breidt is a prominent figure in the field of predictive modeling, with a strong portfolio of patents that reflect his innovative spirit. His work continues to influence the way data is managed and utilized in machine learning systems.
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