Robert Matthew Patton

Title: A Look into the Innovations of Robert Matthew Patton

Introduction

Robert Matthew Patton, an accomplished inventor based in Knoxville, TN, has made significant contributions to the field of neural networks and document recommendation systems. With a total of six patents to his name, Patton's work showcases his innovative spirit and commitment to enhancing technology through unique methodologies.

Latest Patents

One of Patton's most recent patents focuses on "Optimizing Neural Networks." This system and method are designed to efficiently optimize neural networks through a sophisticated process involving a data store that holds diverse gene vectors. By utilizing evaluation queues, primary and secondary nodes interactively construct, train, and evaluate the neural networks. The process is continuous, repeating until certain performance metrics are achieved.

Another noteworthy patent is centered on "Content-Based Recommendation Using Hypernym Expansion." This system combines linguistic and term frequency methods to enhance document recommendations. By integrating hypernyms into the document set, the system is capable of recommending related documents, thereby improving overall performance. The flexibility of the system allows for multiple parameters to adjust and optimize its operation.

Career Highlights

Throughout his career, Robert Matthew Patton has worked with prestigious organizations such as UT-Battelle, Inc. and Planet Technologies. His experiences in these companies have significantly contributed to his expertise in innovative technologies and systems.

Collaborations

Patton has collaborated with renowned professionals in his field, including Thomas Eugene Potok and Robert E. Gillen. These collaborations have enriched his work and have fostered an environment of creativity and innovation.

Conclusion

Robert Matthew Patton exemplifies the spirit of innovation through his patents and collaborative efforts. His contributions, particularly in neural network optimization and document recommendation systems, reflect his dedication to advancing technology and improving user experiences in various applications.