Min-Hsuan Chen

Title: Min-Hsuan Chen: Inventor in Machine Learning and Network Quality

Introduction

Min-Hsuan Chen is an inventor based in Colts Neck, New Jersey. His patent work includes methods for adapting machine learning to changing user interests and predicting customer complaints from network and premises performance data. He is named on 5 patents.

Latest Patents

“Method and Apparatus for Adapting Machine Learning to Changes in User Interest” describes a learning system that adjusts the weight it assigns to user inputs over time. The system evaluates inputs using interest measures and performance levels, then reduces the influence of older inputs as additional cycles occur. This approach is designed to help the learning machine respond to changes in user interest.

“Method and Apparatus for Managing Quality of Service” describes a system for predicting customer complaints using regression coefficients that relate customer feedback to network and premises performance indicators. By applying those coefficients to updated performance data, the system can estimate where service issues may lead to complaints.

Career Highlights

Chen’s listed company affiliations include AT&T Intellectual Property I, L.P., and AT&T Corp. His patent work reflects applications of data analysis and predictive methods to machine learning and telecommunications service quality.

Collaborations

Chen’s listed coworkers include Christopher Kwan and Stephen R. Lang.

Conclusion

Min-Hsuan Chen’s patents address how learning systems can adapt to evolving user interests and how performance data can help anticipate customer service concerns.