Christian Feuersänger

Title: The Innovative Mind of Christian Feuersänger

Introduction

Christian Feuersänger is a notable inventor based in Rheinbach, Germany. He has made significant contributions to the field of machine learning, particularly in document relevancy analysis. With a total of two patents to his name, Feuersänger's work is at the forefront of technological advancements in this area.

Latest Patents

Feuersänger's latest patents focus on systems and methods that quantify document relevance for a document relative to a training corpus. One of his patents involves generating an example-based explanation for the relevancy of a document by executing a support vector machine classifier. This classifier performs a centroid classification of a relevant document in a term frequency-inverse document frequency features space relative to training examples in a training corpus. Another patent addresses determining the closest cosine distances of training examples, which includes ranking the training examples by stretching the internal best match scores linearly to cover a complete unit interval.

Career Highlights

Throughout his career, Christian Feuersänger has worked with prominent companies such as Recommind, Inc. and Open Text Holdings, Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in the realm of machine learning.

Collaborations

Feuersänger has collaborated with notable professionals in his field, including Dietrich Wettschereck and Jan Puzicha. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Christian Feuersänger is a distinguished inventor whose work in document relevancy analysis within machine learning systems is paving the way for future innovations. His contributions are significant in enhancing the understanding and application of machine learning technologies.