Eric Hurley

Title: Innovations by Eric Hurley in Support Vector Machines

Introduction

Eric Hurley is a distinguished inventor based in Austin, TX, recognized for his contributions to the field of machine learning, particularly through his work on support vector machines (SVM). With a total of two patents to his name, he focuses on innovative systems and methods that enhance the training processes of SVMs, significantly impacting how data is processed and analyzed.

Latest Patents

Eric Hurley's latest patents include:

1. **System and Method for On-line Training of a Support Vector Machine**: This invention pertains to a system that trains an SVM using training sets derived from a continuous stream of process data. The system is adept at detecting new training data and constructing corresponding training sets. An innovative feature of this method involves maintaining a buffer that updates as new training data becomes available. This ensures that the SVM is effectively trained over time, incorporating various training sets.

2. **System and Method for Historical Database Training of Support Vector Machines**: This patent elaborates on training an SVM using previously collected time-stamped data. The invention allows for retrospective training by accessing a historical database, constructing training sets from the recorded data, and presenting them to the SVM.

Career Highlights

Currently, Eric Hurley is associated with Pavilion Technologies, Inc., where he leverages his expertise in machine learning to drive innovation in data processing. His focus on integrating real-time and historical data enhances the efficiency and accuracy of SVM training protocols.

Collaborations

Throughout his career, Eric has collaborated with notable colleagues, including Eric J Hartman and Ralph Bruce Ferguson. Their combined expertise fosters an environment of innovation and development, contributing to the company's reputation as a leader in advanced machine learning solutions.

Conclusion

Eric Hurley's innovative work in the realm of support vector machines underscores his profound impact on data processing and machine learning technologies. His patents not only represent individual achievements but also pave the way for advancements in the industry, highlighting the importance of continuous improvement in algorithms and training methodologies. As the field of machine learning evolves, contributions from inventors like Eric are essential in shaping future developments.