Franklin D Fuller

Title: Franklin D. Fuller: Innovator in Predictive Modeling

Introduction

Franklin D. Fuller is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of predictive modeling, particularly in developing systems that effectively handle missing data. With a total of two patents to his name, Fuller is recognized for his innovative approaches in this area.

Latest Patents

Fuller's latest patents focus on systems and methods for training predictive models that ignore missing features. One embodiment of his invention includes a method for generating representations of inputs with missing values. This method involves receiving an input that consists of a set of values for several features and identifying a missingness pattern. The missingness pattern indicates whether the set of values is missing a value for each of the features. Additionally, the method determines a set of transformation weights based on the missingness pattern and transforms the input accordingly. Another embodiment also addresses generating representations of inputs with missing values, emphasizing the importance of handling data across several points in time.

Career Highlights

Franklin D. Fuller is currently employed at Unlearn.ai, Inc., where he continues to advance his research and development in predictive modeling. His work is instrumental in creating more robust models that can function effectively even when faced with incomplete data.

Collaborations

Fuller collaborates with talented individuals such as Aaron Smith and Charles Kenneth Fisher, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Franklin D. Fuller stands out as an influential inventor in the realm of predictive modeling, with his patents reflecting a deep understanding of data handling. His contributions are paving the way for advancements in how predictive models are trained and utilized.