Ben Peter Yuhas

Title: The Innovations of Ben Peter Yuhas

Introduction

Ben Peter Yuhas is an accomplished inventor based in Baltimore, MD. He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on improving the efficiency and accuracy of predictive models by utilizing statistical measures.

Latest Patents

Yuhas holds a patent for a "Method for computing models based on attributes selected by entropy." This patent describes a process where attributes of a data set are analyzed using entropy, chi-square, or similar statistical measures. The method identifies a target group of samples with desired attributes and compares their attribute values to those of the entire sample population. By selecting a subset of attributes that show the greatest relative difference, the predictive model is generated more efficiently, requiring fewer computational resources.

Career Highlights

Ben Peter Yuhas is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in data analysis and predictive modeling.

Collaborations

Yuhas has collaborated with notable colleagues such as Quan G Cung and Harry Roger Kolar. These collaborations have likely enriched his work and contributed to the development of his patent.

Conclusion

Ben Peter Yuhas is a notable inventor whose work in predictive modeling has the potential to enhance data analysis significantly. His innovative approach to selecting attributes based on statistical measures demonstrates his commitment to improving computational efficiency and accuracy.