Company Filing History:
Years Active: 2009-2011
Title: Innovations of Stuart H. Marshall
Introduction
Stuart H. Marshall is an accomplished inventor based in Seattle, WA. He has made significant contributions to technology through his innovative patents. With a total of three patents to his name, Marshall has focused on enhancing account processing systems and data classification methods.
Latest Patents
One of his latest patents is titled "Account Related Task Processing." This invention introduces a system for periodic and real-time processing of accounts. The system operates in both bulk mode and error mode. In bulk mode, a component processes a set of eligible accounts along with dependent tasks, while a removal component eliminates accounts associated with errors. The error mode allows for sequential testing and processing of tasks for accounts that encounter issues, ensuring they are eventually re-integrated into bulk processing.
Another notable patent is "Classifying Knowledge Aging in Emails Using Naïve Bayes Classifier." This invention utilizes the Naïve Bayes Classifier to predict classifications based on data features and prior data sets. It allows for external boosts to be applied to counts generated by the classifier, enhancing the accuracy of predictions. Additionally, the counts can be aged periodically, enabling a more dynamic approach to data classification.
Career Highlights
Stuart H. Marshall is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to develop and refine his innovative ideas, contributing to the company's technological advancements.
Collaborations
Throughout his career, Marshall has collaborated with talented individuals such as Xingheng Wang and Mahesh Jayaram. These collaborations have fostered a creative environment that has led to the development of impactful technologies.
Conclusion
Stuart H. Marshall's contributions to technology through his patents demonstrate his innovative spirit and commitment to improving account processing and data classification. His work continues to influence the field and showcases the importance of innovation in technology.