Michael Ringgaard

Title: Michael Ringgaard: Innovator in Entity Resolution and Data Classification

Introduction

Michael Ringgaard is an accomplished inventor based in Lystrup, Denmark, known for his significant contributions to the fields of entity resolution and data classification. With a total of two patents to his name, Ringgaard has developed innovative methods that enhance the way information is processed and understood.

Latest Patents

Michael Ringgaard's latest ventures focus on advanced computer science techniques. His first patent, titled "Additive Context Model for Entity Resolution," outlines systems and methods for utilizing an additive context model to disambiguate entities. This method involves receiving a span of text and a corresponding phrase vector, determining candidate entities from a knowledge base, and calculating support scores to resolve the text to the most probable entity.

His second patent, "Efficient Polynomial Mapping of Data for Use with Linear Support Vector Machines," presents methods and systems for polynomial mapping relevant to linear support vector machines. This patent details the training of a linear classifier through feature vectors and the generation of a condensed representation of a mapped vector, which is crucial for efficient data classification.

Career Highlights

Michael Ringgaard has built his career at Google Inc., where he continues to pursue innovative solutions in technology. His work in the realm of data processing and machine learning has garnered attention and respect among his peers, underscoring his status as a leading inventor in the tech industry.

Collaborations

Throughout his career, Ringgaard has collaborated with numerous talented professionals including Amarnag Subramanya and Fernando Carlos das Neves Pereira. These partnerships have likely contributed to the richness and effectiveness of his inventions, showcasing a collaborative spirit in driving innovation forward.

Conclusion

In summary, Michael Ringgaard stands out as an inventive mind making significant strides in the fields of entity resolution and data classification. His work, characterized by groundbreaking methodologies at Google Inc., continues to influence how technologies interpret and manage information, ultimately paving the way for future advancements in artificial intelligence and data science.