Kellen K Axten

Title: Kellen K Axten: Innovator in Anomalous Source Detection

Introduction

Kellen K Axten is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of data evaluation through his innovative patent. His work focuses on the evaluation of text data using advanced machine learning techniques.

Latest Patents

Kellen K Axten holds a patent titled "Anomalous source detection in high-dimensional sequence data." This patent describes devices and techniques for evaluating text data using large n-grams. In his invention, a first vector is generated for the first text data, where each element indicates whether the first text data includes a respective n-gram from a corpus of text data. The invention also involves determining first label data that indicates a user's connection to a computer-implemented service more than a threshold number of times during a past time period. A machine learning model is then trained based on the first vector and the first label data, which is used to determine a probability associated with a first n-gram of the first vector.

Career Highlights

Kellen K Axten is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and data analysis. His innovative approach to text data evaluation has positioned him as a valuable asset in the tech industry.

Collaborations

Kellen has collaborated with talented individuals such as Brendan Cruz Colon and Jason L Thalken, contributing to the advancement of technology in their respective fields.

Conclusion

Kellen K Axten's work in anomalous source detection showcases his innovative spirit and dedication to improving data evaluation techniques. His contributions are paving the way for advancements in machine learning and data analysis.