Jeffrey Jon Dalton

Title: Innovator Spotlight: Jeffrey Jon Dalton and His Contributions to Machine Learning

Introduction: Jeffrey Jon Dalton is a prominent inventor based in Mountain View, CA, who has made significant strides in the field of machine learning through his innovative patents. With a total of four patents, Dalton is recognized for his ability to enhance the relevance and functionality of informational displays using advanced technological approaches.

Latest Patents: Among Dalton's latest patents are two pivotal inventions that demonstrate his expertise in machine learning. The first patent, titled "Structured machine learning for improved whole-structure relevance of informational displays," presents systems and methods that utilize machine learning to enhance the hierarchical relevance of informational displays. This invention focuses on employing a supervised, discriminative machine learning approach to optimize the ranking of items and their display attributes. The machine-learned display selection model is designed to select items and attributes for informational displays effectively.

The second patent, "Distantly supervised wrapper induction for semi-structured documents," provides innovative systems and methods for the automatic generation and annotation of training documents tailored for semi-structured documents. This invention focuses on creating a training set of semi-structured web pages and utilizes knowledge bases to annotate these pages. This annotated data is crucial in training a wrapper to extract new subject entities and facts from semi-structured web pages efficiently.

Career Highlights: Jeffrey Jon Dalton currently works at Google Inc., a company renowned for its groundbreaking work in technology and artificial intelligence. His role in advancing machine learning technologies contributes to the ongoing evolution of how information is processed and displayed.

Collaborations: Throughout his career, Dalton has collaborated with talented individuals such as Evgeniy Gabrilovich and Karthik Raman. These collaborations have further enriched his work and allowed for the development of meaningful technological advancements.

Conclusion: Jeffrey Jon Dalton's inventive work in machine learning showcases the vital role of innovation in improving how we interact with information. His patents not only advance technological capabilities but also pave the way for new methodologies in data management and display. As the fields of machine learning and artificial intelligence continue to grow, Dalton's contributions will undoubtedly leave a lasting impact.