Makoto Yamada

Title: Makoto Yamada: Innovator in Anomaly Detection and Feature Selection

Introduction

Makoto Yamada is a prominent inventor based in San Jose, California. He has made significant contributions to the fields of anomaly detection and feature selection, holding two patents that showcase his innovative approach to data analysis.

Latest Patents

One of his latest patents is titled "Large-scale anomaly detection with relative density-ratio estimation." In this invention, a set of training data consisting of inliers is obtained. A supervised classification model is trained using this set of training data to identify outliers. The model generates an anomaly score for each data point, allowing for the determination of whether a data point is an outlier based on the anomaly score. Another notable patent is focused on "Feature selection," which describes a novel method and/or system for selecting features in data analysis.

Career Highlights

Throughout his career, Makoto Yamada has worked with notable companies such as Excalibur IP, LLC and Verizon Media Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in technology.

Collaborations

Makoto has collaborated with talented individuals in his field, including Hua Ouyang and Yi Chang. These partnerships have fostered a creative environment that has led to the development of impactful inventions.

Conclusion

Makoto Yamada's work in anomaly detection and feature selection highlights his innovative spirit and dedication to advancing technology. His contributions continue to influence the field and inspire future inventors.