Company Filing History:
Years Active: 2005-2016
Title: Joseph Yarmus: Innovator in Data Modeling and Machine Learning
Introduction
Joseph Yarmus is a prominent inventor based in Groton, MA (US), known for his significant contributions to the fields of data modeling and machine learning. With a total of 13 patents to his name, Yarmus has developed innovative processes and systems that enhance the understanding and application of data.
Latest Patents
Among his latest patents, Yarmus has introduced groundbreaking methods for approximating value densities in data. His patent titled "Approximating value densities" outlines processes, machines, and stored machine instructions that facilitate the generation of a density model. This model is designed to approximate value densities in a dataset by selecting and varying functional components based on their contribution to the model's accuracy. Another notable patent, "Feature generation and model selection for generalized linear models," describes systems and methods for ordering candidate features in a dataset. This process utilizes an inclusion score to determine the likelihood of a feature being included in a generalized linear model (GLM), thereby optimizing feature selection.
Career Highlights
Joseph Yarmus is currently employed at Oracle International Corporation, where he continues to push the boundaries of innovation in data science and machine learning. His work at Oracle has allowed him to collaborate with leading experts in the field, further enhancing his contributions to technology.
Collaborations
Yarmus has worked alongside talented colleagues such as Marcos M Campos and Boriana L Milenova, contributing to a collaborative environment that fosters innovation and creativity.
Conclusion
Joseph Yarmus stands out as a key figure in the realm of data modeling and machine learning, with a proven track record of innovation and collaboration. His patents reflect a deep understanding of complex data processes, making significant strides in the industry.