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For the Inventor, By the Inventor

Croton-on-Hudson, NY, United States of America

Gerald James Tesauro

USPTO Granted Patents = 18

Average Co-Inventor Count = 3.9

ph-index = 6

Forward Citations = 267(Granted Patents)


Company Filing History:

goldMedal18 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 1997-2020

where 'Filed Patents' based on already Granted Patents

18 patents (USPTO):
1. 10599991 - Parameter-dependent model-blending with multi-expert based machine learning and proxy sites (2020-03-24),
2. 10592818 - Parameter-dependent model-blending with multi-expert based machine learning and proxy sites (2020-03-17),
3. 10592817 - Parameter-dependent model-blending with multi-expert based machine learning and proxy sites (2020-03-17),
4. 10572819 - Automated intelligent data navigation and prediction tool (2020-02-25),
5. 10373071 - Automated intelligent data navigation and prediction tool (2019-08-06),
6. 9298172 - Method and apparatus for improved reward-based learning using adaptive distance metrics (2016-03-29),
7. 9047423 - Monte-Carlo planning using contextual information (2015-06-02),
8. 8554898 - Autonomic computing system with model transfer (2013-10-08),
9. 8545332 - Optimal policy determination using repeated stackelberg games with unknown player preferences (2013-10-01),
10. 8352951 - Method and apparatus for utility-based dynamic resource allocation in a distributed computing system (2013-01-08),
11. 8214474 - Autonomic computing system with model transfer (2012-07-03),
12. 8060454 - Method and apparatus for improved reward-based learning using nonlinear dimensionality reduction (2011-11-15),
13. 8001063 - Method and apparatus for reward-based learning of improved policies for management of a plurality of application environments supported by a data processing system (2011-08-16),
14. 7890952 - Autonomic peer-to-peer computer software installation (2011-02-15),
15. 7640224 - Active sampling collaborative prediction method for end-to-end performance prediction (2009-12-29),

Title: Gerald James Tesauro: Innovator in Machine Learning

Introduction

Gerald James Tesauro is a prominent inventor based in Croton-on-Hudson, NY (US). He has made significant contributions to the field of machine learning, holding a total of 18 patents. His work focuses on developing advanced methodologies that enhance the capabilities of machine learning systems.

Latest Patents

One of Tesauro's latest patents is titled "Parameter-dependent model-blending with multi-expert based machine learning and proxy sites." This innovative method involves selecting a parameter of interest from a set of individual models, running these models with various inputs to obtain estimates, and identifying critical parameters that correlate with estimation errors. The process culminates in creating a parameter-based blended model that optimally combines the individual models based on the identified critical parameters.

Career Highlights

Gerald Tesauro has had a distinguished career at the International Business Machines Corporation (IBM). His work has been instrumental in advancing machine learning techniques, particularly in the area of model blending and parameter optimization. His contributions have not only enhanced IBM's technological capabilities but have also influenced the broader field of artificial intelligence.

Collaborations

Throughout his career, Tesauro has collaborated with notable colleagues, including Jeffrey Owen Kephart and Rajarshi Das. These collaborations have fostered innovation and have led to the development of cutting-edge technologies in machine learning.

Conclusion

Gerald James Tesauro is a key figure in the realm of machine learning, with a robust portfolio of patents that reflect his innovative spirit. His work continues to shape the future of artificial intelligence and machine learning methodologies.

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