Old Greenwich, CT, United States of America

Elizabeth Bourgoin

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2020.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations of Elizabeth Bourgoin

Introduction

Elizabeth Bourgoin is an accomplished inventor based in Old Greenwich, CT (US). She has made significant contributions to the field of machine learning, particularly through her innovative patent. Her work exemplifies the intersection of technology and cognitive science, showcasing her expertise and creativity.

Latest Patents

Elizabeth holds a patent for a "Bayesian network based hybrid machine learning" system. This invention involves processing data with labels and data without labels. For the unlabeled data, a fuzzy rules system assigns pseudo labels. A computer processes the labeled data using a first cognitive neural network and the pseudo-labeled data using a second cognitive neural network. The system produces outcomes by combining the results from both networks. Additionally, the computer obtains feedback on these outcomes and modifies the parameters of the fuzzy rule system in response to the feedback. This innovative approach enhances the efficiency and accuracy of machine learning applications.

Career Highlights

Elizabeth is currently employed at International Business Machines Corporation (IBM), where she continues to develop her expertise in machine learning and artificial intelligence. Her work at IBM allows her to collaborate with some of the brightest minds in the industry, further advancing her contributions to technology.

Collaborations

Some of her notable coworkers include Christopher A Buchholz and Zhihuai Zhu. Their collaboration fosters a dynamic environment for innovation and problem-solving within the company.

Conclusion

Elizabeth Bourgoin's contributions to machine learning through her patent and work at IBM highlight her role as a leading inventor in the field. Her innovative approaches continue to shape the future of technology and machine learning applications.

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