Kurt Reiser

Title: Kurt Reiser: Innovator in Statistical Classification and Information Processing

Introduction

Kurt Reiser is a notable inventor based in Los Angeles, CA. He has made significant contributions to the field of statistical classification and information processing. With a total of 6 patents, his work focuses on enhancing system performance through innovative methods.

Latest Patents

One of his latest patents is titled "Automatic Learning of Belief Functions." This invention provides a method for automatically learning belief functions, enabling the combination of different and potentially contradictory information sources. It allows for the identification of erroneous information sources, inappropriate information combinations, and optimal information granularities, ultimately enhancing system performance. Another significant patent is "Automatic Determination of Report Granularity." This invention offers a method for performing statistical classification that resolves conflicts in independent information sources. It creates a robust statistical classifier that outperforms existing classifiers. The method is automatically trainable, leading to improved classification performance.

Career Highlights

Kurt Reiser has worked with prominent companies such as Hughes Aircraft Company and Raytheon Company. His experience in these organizations has contributed to his expertise in the field of information processing and statistical classification.

Collaborations

Some of his notable coworkers include Yang Chen and Charles McNary. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Kurt Reiser's contributions to statistical classification and information processing are noteworthy. His innovative patents and career experiences reflect his dedication to enhancing system performance through advanced methodologies.