Klaus Mueller

Title: Innovations of Klaus Mueller

Introduction

Klaus Mueller is a prominent inventor based in New York, NY (US). He has made significant contributions to the field of machine learning, holding a total of four patents. His work focuses on optimizing machine learning systems and enhancing data processing techniques.

Latest Patents

One of his latest patents is titled "Optimizing a machine learning system." This method optimizes machine learning systems by accessing a committee of classifiers trained with initial labeled data. The system compares attribute rankings from an annotator to those generated by machine learning systems, optimizing them based on this comparison. Another notable patent is "CT big data from simulation, emulation and transfer learning." This method involves identifying features from simulator and emulator data sets using an auto encoder network, and generating intermediate data sets based on synthesized features.

Career Highlights

Klaus has worked at esteemed institutions such as the State University of New York and Rensselaer Polytechnic Institute. His experience in these organizations has contributed to his expertise in machine learning and data analysis.

Collaborations

Klaus has collaborated with notable individuals in his field, including Ge Wang and Daniel David Harrison. Their joint efforts have further advanced the research and development of innovative technologies.

Conclusion

Klaus Mueller's contributions to machine learning and data processing are noteworthy. His patents reflect a deep understanding of optimizing complex systems, making him a significant figure in the field of innovation.