Alameda, CA, United States of America

Deenadayalan Narayanaswamy

This inventor holds 1 USPTO granted patent. Top assignee: Fair Isaac Corporation. Active years: 2014.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Deenadayalan Narayanaswamy: Innovator in Automated Decisioning

Introduction

Deenadayalan Narayanaswamy is a notable inventor based in Alameda, CA (US). He has made significant contributions to the field of automated decision-making through his innovative patent. His work focuses on enhancing decision-making processes by utilizing variable learning rates.

Latest Patents

Narayanaswamy holds a patent titled "Variable learning rate automated decisioning." This patent describes methods and related systems for making decisions. The method includes selecting a choice from available options, receiving an outcome related to the selected choice, and automatically learning from the received outcome. This learning is incorporated into subsequent decision-making steps. Additionally, the method calculates estimated probabilities associated with each choice using Bayesian networks. The automated learning process is influenced by a variable learning rate, which adjusts over time and affects how prior outcomes are considered when estimating probabilities.

Career Highlights

Deenadayalan Narayanaswamy is associated with Fair Isaac Corporation, where he applies his expertise in automated decision-making. His innovative approach has contributed to advancements in decision-making technologies.

Collaborations

Some of his notable coworkers include Marc-david Cohen and Zhenyu Yan, who have collaborated with him on various projects within the company.

Conclusion

Deenadayalan Narayanaswamy's work in automated decisioning exemplifies the impact of innovative thinking in technology. His contributions continue to influence the field and enhance decision-making processes.

Profile summary based on public USPTO records.
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