Robert Wayne Thompson

Title: Innovations of Robert Wayne Thompson

Introduction

Robert Wayne Thompson is an accomplished inventor based in Cary, NC (US). He has made significant contributions to the field of technology, particularly in machine learning and decision-making systems. With a total of 2 patents, Thompson's work showcases his innovative approach to solving complex problems.

Latest Patents

Thompson's latest patents include "Advanced detection of rare events and corresponding interactive graphical user interface." This system is designed to obtain observations from a dataset and generate a set of training partitions. It utilizes an ensemble of machine-learning models to detect whether new data is indicative of specific events. The system can also update the ensemble by incorporating new observations based on outputs from an unsupervised machine-learning model.

Another notable patent is "Techniques for interactive decision trees." This invention provides a system that stores data related to a decision tree, including various data structures and code portions. The system can receive input for modifications to the decision tree and determine whether these modifications require multiple-processing iterations. It generates modified decision trees accordingly, facilitating efficient decision-making processes.

Career Highlights

Thompson is currently employed at SAS Institute Inc., a leading analytics software company. His work at SAS has allowed him to apply his innovative ideas in practical applications, contributing to advancements in data analysis and machine learning.

Collaborations

Throughout his career, Thompson has collaborated with talented individuals such as Xiangxiang Meng and Rajendra Prasad Singh. These collaborations have further enriched his work and led to the development of impactful technologies.

Conclusion

Robert Wayne Thompson's contributions to the field of technology through his patents and work at SAS Institute Inc. highlight his role as a significant innovator. His advancements in machine learning and decision-making systems continue to influence the industry positively.