Company Filing History:
Years Active: 2020
Title: John M Clerci: Innovator in Data Evaluation Methods
Introduction
John M Clerci is a notable inventor based in Vienna, VA (US). He has made significant contributions to the field of data evaluation through his innovative patent. His work focuses on enhancing the understanding and analysis of data sets using advanced methodologies.
Latest Patents
John M Clerci holds a patent for a system and methods for data evaluation through network sensitivity analysis. This patent describes a data evaluation method that includes a processor receiving data sets N, each of which has one or more parameters. The method applies the data sets N to a machine learning model and generates observations on the data sets N. Additionally, it executes a network sensitivity analysis (NSA) that involves generating a N NSA curve for each of k distinct parameters in the N data sets. The process includes computing an observation O with the data sets and generating a N−j NSA curve for each of the k distinct parameters. This innovative approach allows for the determination of the contribution of a j data set based on the k N NSA curves and the k N−j NSA curves, ultimately computing a relative strength S of each of the N data sets.
Career Highlights
John M Clerci is currently associated with Tensordro, Inc., where he applies his expertise in data evaluation methods. His work has been instrumental in advancing the capabilities of data analysis within the company. With a focus on machine learning and network sensitivity analysis, he continues to push the boundaries of innovation in this field.
Collaborations
John has collaborated with notable colleagues such as G Edward Powell and Mark Lane. Their combined efforts contribute to the development of cutting-edge solutions in data evaluation.
Conclusion
John M Clerci is a distinguished inventor whose work in data evaluation methods has made a significant impact in the field. His innovative patent and collaboration with talented professionals highlight his commitment to advancing technology and improving data analysis methodologies.