Princeton, NJ, United States of America

Eric Sven Ristad

This inventor holds 1 USPTO granted patent. Top assignee: Other. Active years: 2001.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eric Sven Ristad. Retrieved from https://idiyas.com/inventor/eric-sven-ristad

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:

goldMedal1 out of 834,513 
Other
 patents

Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: Eric Sven Ristad: Innovator in Learning Edit Distance Costs

Introduction

Eric Sven Ristad is a notable inventor based in Princeton, NJ (US). He has made significant contributions to the field of data string analysis through his innovative patent. His work focuses on optimizing edit distance costs, which is crucial for various applications in data processing and machine learning.

Latest Patents

Ristad holds a patent for "Learning Edit Distance Costs." This patent introduces a learning algorithm that minimizes the costs associated with the similarity of two data strings. Instead of relying on a predetermined fixed table of entries, the algorithm learns from examples of similar strings, allowing for more dynamic and efficient cost calculations. He has 1 patent to his name.

Career Highlights

Throughout his career, Ristad has demonstrated a commitment to advancing the understanding of data string similarity. His innovative approach has opened new avenues for research and application in the field. His work is recognized for its potential to enhance data processing techniques significantly.

Collaborations

Ristad has collaborated with Peter N Yianilos, a fellow innovator in the field. Their partnership has contributed to the development of advanced algorithms and methodologies in data analysis.

Conclusion

Eric Sven Ristad's contributions to the field of data string analysis through his patent on learning edit distance costs exemplify the impact of innovative thinking in technology. His work continues to influence the way data is processed and understood.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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