Los Altos Hills, CA, United States of America

Marsha Prescott Duro

This inventor holds 1 USPTO granted patent. Top assignee: Hewlett-Packard Development Company, L.p.. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marsha Prescott Duro. Retrieved from https://idiyas.com/inventor/marsha-prescott-duro

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Marsha Prescott Duro: Innovator in Bayesian Networks

Introduction

Marsha Prescott Duro is a notable inventor based in Los Altos Hills, California. She has made significant contributions to the field of Bayesian networks, showcasing her expertise through her innovative patent.

Latest Patents

Marsha holds a patent titled "Adapting Bayesian network parameters on-line in a dynamic environment." This method involves determining a set of parameters for a Bayesian network, including initial parameters, and updating these parameters in response to observation data using an adaptive learning rate. The adaptive learning rate is designed to respond to changes in the underlying modeled environment while utilizing minimal observation data. This innovation highlights her ability to address complex problems in dynamic settings.

Career Highlights

Marsha is currently employed at Hewlett-Packard Development Company, L.P., where she continues to apply her skills and knowledge in technology and innovation. Her work at HP has allowed her to contribute to advancements in various technological fields.

Collaborations

Throughout her career, Marsha has collaborated with talented individuals such as Ira Cohen and Alexandre Bronstein. These partnerships have further enriched her work and expanded her impact in the industry.

Conclusion

Marsha Prescott Duro is a pioneering inventor whose work in adapting Bayesian networks demonstrates her commitment to innovation. Her contributions continue to influence the field and inspire future advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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