Yaling Tao

Title: Yaling Tao: Innovator in Learning and Clustering Technologies

Introduction

Yaling Tao is a prominent inventor based in Kanagawa, Japan. He has made significant contributions to the fields of learning devices and clustering technologies. With a total of 2 patents, his work focuses on enhancing the efficiency and effectiveness of data processing and learning methodologies.

Latest Patents

Yaling Tao's latest patents include a learning device, learning method, and computer program product. According to one embodiment, the learning device comprises one or more processors that calculate a latent vector for each of a plurality of first target data. This is achieved by utilizing a parameter of a learning model designed to output a latent vector that indicates the features of the target data. The processors also calculate first probabilities for each first target data, determining its membership in virtual classes, and update parameters to minimize losses associated with these probabilities.

Another notable patent is a clustering device, clustering method, and computer program product. In this embodiment, a communication device with one or more processors decides on a first-type parameter for converting input data into first-type conversion data. The processors calculate predicted distributions based on second-type parameters representing various clusters. They then update these parameters to optimize differences between predicted distributions and target distributions, ultimately classifying input data into multiple clusters based on the calculated distributions.

Career Highlights

Yaling Tao is currently employed at Kabushiki Kaisha Toshiba, where he applies his expertise in developing innovative technologies. His work at Toshiba has allowed him to contribute to cutting-edge advancements in learning and clustering systems.

Collaborations

Yaling has collaborated with notable coworkers, including Kentaro Takagi and Kouta Nakata. Their combined efforts have fostered a collaborative environment that enhances innovation and drives technological progress.

Conclusion

Yaling Tao's contributions to learning devices and clustering technologies exemplify his commitment to innovation. His patents reflect a deep understanding of data processing and learning methodologies, positioning him as a key figure in his field.