Peter L Bartlett

Title: Innovations of Peter L Bartlett

Introduction

Peter L Bartlett is a prominent inventor based in Berkeley, CA. He has made significant contributions to the field of machine learning, particularly in the development of kernels for learning machines. With a total of 2 patents, his work has advanced the understanding of how to analyze datasets effectively.

Latest Patents

One of his latest patents focuses on "Kernels and methods for selecting kernels for use in learning machines." This invention addresses the use of support vector machines to analyze datasets and recognize patterns. The patent describes how locational kernels can be utilized to measure similarity among data points within a dataset that possesses structural characteristics. These locational kernels are combined to generate a decision function, or kernel, which is essential for analyzing the dataset. Furthermore, the invention outlines the use of tangent vectors to identify relationships between invariance transformations or noise and the data points. A covariance matrix is formed using these tangent vectors, which is then employed in the generation of the kernel for recognizing patterns in the dataset.

Career Highlights

Peter L Bartlett has had a notable career, working at Health Discovery Corporation. His expertise in machine learning and kernel methods has positioned him as a key figure in the field. His contributions have not only advanced theoretical understanding but also practical applications in data analysis.

Collaborations

Throughout his career, Peter has collaborated with esteemed colleagues such as André Elisseeff and Bernhard Schoelkopf. These collaborations have further enriched his work and expanded the impact of his innovations.

Conclusion

Peter L Bartlett's contributions to the field of machine learning through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the landscape of data analysis and pattern recognition.