Santa Clara, CA, United States of America

Thomas Herter


Average Co-Inventor Count = 6.0

ph-index = 3

Forward Citations = 82(Granted Patents)


Company Filing History:


Years Active: 2013-2022

Loading Chart...
6 patents (USPTO):

Title: Thomas Herter: Innovator in Predictive Modeling Technologies

Introduction

Thomas Herter is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of predictive modeling, holding a total of 6 patents. His work focuses on improving machine learning systems through innovative methods that address data challenges.

Latest Patents

Among his latest patents is a 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 notable patent is a method and system for adaptively removing outliers from data used in training predictive models. This patent describes 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 Herter is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in data processing and predictive analytics. His work at Oracle has positioned him as a key player in advancing the capabilities of machine learning technologies.

Collaborations

He collaborates with talented individuals such as Angelo Pruscino and Michael Zoll, contributing to a dynamic and innovative work environment.

Conclusion

Thomas Herter's contributions to predictive modeling and data processing are noteworthy, showcasing his expertise and commitment to innovation in technology. His patents reflect a deep understanding of the challenges faced in machine learning, and his work continues to influence the field positively.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…