Sunnyvale, CA, United States of America

Richard Tao-Hwa Chow


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2013-2014

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations by Richard Tao-Hwa Chow

Introduction

Richard Tao-Hwa Chow is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of binary classification systems, particularly in the context of click fraud detection. With a total of two patents to his name, Chow's work has implications for improving the accuracy and reliability of classification systems.

Latest Patents

Chow's latest patents focus on evaluating the performance of binary classification systems. The first patent describes methods and apparatus for evaluating a binary classification system that classifies events into two types. This system is designed to identify errors in classification, specifically the misclassification of event types. The second patent similarly addresses the evaluation of binary classification systems, emphasizing the importance of verification data in assessing the system's performance. Both patents aim to enhance the understanding and functionality of classification systems in various applications.

Career Highlights

Richard Tao-Hwa Chow is currently employed at Yahoo! Inc., where he continues to innovate and contribute to advancements in technology. His expertise in binary classification systems has positioned him as a valuable asset in his field. Chow's work not only reflects his technical skills but also his commitment to improving system performance and accuracy.

Collaborations

Chow has collaborated with notable colleagues, including Pavel Berkhin and Elena Eneva. These partnerships have likely fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Richard Tao-Hwa Chow's contributions to the field of binary classification systems demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of the complexities involved in classification and the importance of accuracy in technology.

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