Yu-Chi Tang

Title: Innovations by Yu-Chi Tang

Introduction

Yu-Chi Tang is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of machine learning and classification systems. His innovative approach has led to the development of a unique patent that enhances the efficiency of data classification.

Latest Patents

Yu-Chi Tang holds a patent for a method titled "Multi-class classification using a dual model." This invention involves receiving a full training data set that includes multiple individual training data sets. The method divides these sets into N classes, where N is an integer greater than three. It further categorizes the N classes into M full data classes and N-M partial data classes. The process includes training to obtain a fixed-size machine learning classification model and an in-class confidence model. The model outputs a first set of prediction values based on training performance. Additionally, it distributes each class of the N classes to different nodes in a distributed machine learning system, ultimately outputting a second set of prediction values for each class.

Career Highlights

Yu-Chi Tang is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing machine learning technologies and improving data classification methods. His innovative contributions have positioned him as a key figure in his field.

Collaborations

Yu-Chi Tang has collaborated with notable colleagues, including Chao-Min Chang and Bo-Yu Kuo. These collaborations have further enriched his research and development efforts in machine learning.

Conclusion

Yu-Chi Tang's innovative work in machine learning and classification systems exemplifies the impact of modern inventions on technology. His patent and contributions to IBM highlight the importance of innovation in advancing data processing techniques.