This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Vikram Yadav: Innovator in Machine Learning for Rare Event Identification
Introduction
Vikram Yadav is a distinguished inventor based in Bangkok, Thailand, known for his contributions to the field of machine learning. With a focus on identifying extremely rare events in high-dimensional spaces, his work marks a significant advancement in the integration of technology and data analysis.
Latest Patents
Vikram holds a patent titled "Machine learning based approach for identification of extremely rare events in high-dimensional space." This innovative method involves several key processes: it identifies a plurality of derived attributes using an external data source, selects key performance indicators through a neural network relevant to the modeled rare event, constructs a linear model employing these indicators, and finally, predicts occurrences of the rare event using the developed linear model.
Career Highlights
Currently, Vikram is employed at the International Business Machines Corporation (IBM), where he applies his expertise in machine learning and data analysis. He has demonstrated exceptional skill in statistical modeling and predictive analytics, making him a valuable asset in his field.
Collaborations
Vikram collaborates with talented coworkers such as Sanket Jain and Kumar Apurva, contributing to a dynamic work environment that fosters innovation and the development of cutting-edge technologies.
Conclusion
Through his innovative patent and collaborative efforts at IBM, Vikram Yadav is paving the way for advancements in machine learning applications. His dedication to identifying rare events using sophisticated modeling techniques exemplifies the spirit of innovation in today's technological landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
