Baltimore, MD, United States of America

Daniel J Richman


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Daniel J Richman

Introduction

Daniel J Richman is a notable inventor based in Baltimore, MD (US). He has made significant contributions to the field of data modeling, particularly through his innovative patent. His work focuses on creating methods that enhance the understanding and processing of complex data sets.

Latest Patents

Richman's most recent patent is titled "Method of modeling single data class from multi-class data." This invention presents a method for modeling a single class of data from a collection that includes multiple classes of the same type. The process begins by receiving a diverse data collection, where the single class of data is more abundant than any other. A first statistical model is generated from this collection, which is then divided into subsets. Each subset is scored using the initial model, and a set of scores is selected. The subsets corresponding to these scores are identified and combined. Finally, a second statistical model is created for the combined subsets, serving as the model for the single class of data. This innovative approach has the potential to streamline data analysis and improve accuracy in various applications.

Career Highlights

Richman is associated with the National Security Agency, where he contributes his expertise in data modeling. His work at this esteemed institution highlights his commitment to advancing technology and enhancing national security through innovative solutions.

Collaborations

Richman collaborates with David C Smith, a fellow professional in the field. Their partnership exemplifies the importance of teamwork in driving innovation and achieving significant advancements in technology.

Conclusion

Daniel J Richman is a distinguished inventor whose work in data modeling has the potential to transform how we analyze and interpret complex data sets. His contributions to the field are invaluable, and his innovative spirit continues to inspire others in the industry.

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