Location History:
- Kamakura, JP (2006 - 2010)
- Kanagawa-ken, JP (2003 - 2021)
Company Filing History:
Years Active: 2003-2021
Title: Michiharu Kudoh: Innovator in Probabilistic Estimation
Introduction
Michiharu Kudoh is a prominent inventor based in Kanagawa-ken, Japan. He has made significant contributions to the field of probabilistic estimation, holding a total of 8 patents. His work focuses on innovative methods that enhance the understanding and application of node values in complex systems.
Latest Patents
One of his latest patents involves a method for probabilistic estimation of node values. This method includes receiving the designation of an input node for which a node value is generated from collected data. It also involves an option node to which a node value is arbitrarily provided, and an estimation target node that is the focus of the node value estimation. The process identifies a directional edge for which a conditional probability is to be acquired to measure the node value of the estimation target node. This is achieved by traversing a directional edge that can propagate an effect to a node value from the estimation target node. The identification process includes traversing both a directional edge that can propagate an effect if a node value is provided to the option node and a directional edge that can propagate an effect if a node value is not provided to the option node.
Career Highlights
Kudoh is currently associated with the International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced methodologies in his field. His innovative approaches have garnered attention and respect within the industry.
Collaborations
Throughout his career, Michiharu Kudoh has collaborated with notable colleagues, including Tomio Amano and Takayuki Katsuki. These collaborations have contributed to the advancement of his research and the successful development of his patents.
Conclusion
In summary, Michiharu Kudoh is a distinguished inventor whose work in probabilistic estimation has led to significant advancements in understanding node values. His contributions through his patents and collaborations continue to influence the field positively.
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