San Diego, CA, United States of America

Dan Steinberg

This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignees: Health Care Productivity, Inc., Minitab, Inc., Salford Systems. Active years: 2008-2017.

USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 3

Forward Citations = 42(Granted Patents)


Company Filing History:


Years Active: 2008-2017

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Dan Steinberg

Introduction

Dan Steinberg is a notable inventor based in San Diego, CA. He has made significant contributions to the field of classification and regression trees, holding a total of 5 patents. His work focuses on methods and systems that enhance decision-making processes through advanced data analysis techniques.

Latest Patents

One of his latest patents is titled "Methods and systems for automatic selection of classification and regression trees." This invention provides a method and system for automatically identifying and selecting preferred classification and regression trees. The invention is designed to identify specific decision trees or groups of trees that maintain consistency across training and testing samples, which is crucial for decision-makers. The system ensures that both train and test samples agree on key measures for every terminal node of the tree. Additionally, the selection process can accommodate a fuzzy agreement criterion, allowing for close but not exact matches.

Another significant patent by Steinberg is "Methods and systems for automatic selection of classification and regression trees having preferred consistency and accuracy." This invention aims to identify specific decision trees that are predictively consistent across training and testing samples while adhering to node-specific constraints set by decision-makers. The system evaluates the samples node-by-node, ensuring agreement on at least one key measure of predictive consistency. This flexibility allows for the selection of trees with minor consistency disagreements, provided they demonstrate high overall predictive performance accuracy.

Career Highlights

Throughout his career, Dan Steinberg has worked with various companies, including Health Care Productivity, Inc. and Minitab, Inc. His experience in these organizations has contributed to his expertise in data analysis and decision-making technologies.

Collaborations

Steinberg has collaborated with notable individuals in his field, including Nicholas Scott Cardell and Scott Cardell. These partnerships have likely enriched his work and expanded the impact of his inventions.

Conclusion

Dan Steinberg's innovative contributions to classification and regression trees have significantly advanced the field of data analysis. His patents reflect a deep understanding of decision-making processes and the importance of predictive consistency. His work continues to influence the way data is utilized in various industries.

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