Jeffrey Scott Boston

Title: Innovations by Jeffrey Scott Boston

Introduction

Jeffrey Scott Boston is a notable inventor based in Wappingers Falls, NY (US). He has made significant contributions to the field of machine learning, holding a total of 8 patents. His work focuses on optimizing training processes and improving data quality in machine learning systems.

Latest Patents

One of his latest patents is titled "Discovering and resolving training conflicts in machine learning systems." This method optimizes the training of a machine learning system by detecting conflicts between different training data sets that describe the same type of entity but have different labels. An oracle adjusts these labels to ensure the machine learning system is trained effectively. Another significant patent is "Ground truth quality for machine learning models." This patent outlines methods and systems for enhancing the quality of ground truth data used in modeling. It includes processes for receiving data inputs, training models, generating vector representations, clustering these representations, and identifying anomalous data inputs that may be mislabeled or outliers.

Career Highlights

Jeffrey Scott Boston is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to contribute to cutting-edge advancements in machine learning technologies.

Collaborations

Some of his notable coworkers include Jennifer Ceil Lai and Shimei Pan, who collaborate with him on various projects within the company.

Conclusion

Jeffrey Scott Boston's innovative work in machine learning has led to significant advancements in the field, particularly in optimizing training processes and improving data quality. His contributions continue to influence the development of more effective machine learning systems.