Company Filing History:
Years Active: 2016
Title: Diane Oyen: Innovator in Dependency Network Analysis
Introduction
Diane Oyen is a prominent inventor based in Santa Fe, NM (US). She has made significant contributions to the field of data analysis through her innovative patent. Her work focuses on methods and systems for dependency network analysis, which are crucial for understanding complex data relationships.
Latest Patents
Diane Oyen holds a patent titled "Methods and systems for dependency network analysis using a multitask learning graphical lasso objective function." This patent discloses methods and systems for displaying dependencies within data and illustrating differences between multiple data sets. The method involves receiving a plurality of data sets to generate dependency networks based on a graphical modeling scheme. Additionally, it includes selecting a parameter value that adjusts the differences between the dependency networks. The generated versions of the dependency networks are then outputted to allow users to analyze distinctions effectively. Diane has 1 patent to her name.
Career Highlights
Diane Oyen has established herself as a key figure in her field, working with advanced methodologies that enhance data analysis capabilities. Her innovative approach has garnered attention and respect within the research community.
Collaborations
Diane collaborates with Alexandru Niculescu-Mizil, contributing to the advancement of their shared research interests.
Conclusion
Diane Oyen's work in dependency network analysis exemplifies her commitment to innovation and excellence in data science. Her contributions continue to influence the way data relationships are understood and analyzed.