Company Filing History:
Years Active: 2023
Title: Mikhail Averbukh: Innovator in Random Forest Technology
Introduction
Mikhail Averbukh is a notable inventor based in Nizhny Novgorod, Russia. He has made significant contributions to the field of technology, particularly in the area of machine learning and data analysis. His innovative work has led to the development of a unique patent that enhances the capabilities of random forest algorithms.
Latest Patents
Mikhail Averbukh holds a patent titled "Poisson distribution based approach for bootstrap aggregation in a random forest." This patent describes systems, apparatuses, and methods that generate inclusion data according to a Poisson distribution. The inclusion data specifies the number of inclusions for each observation in a set of observations. The technology also trains a first decision tree in a random forest based at least in part on the inclusion data. He has 1 patent to his name.
Career Highlights
Averbukh is currently employed at Intel Corporation, where he continues to push the boundaries of technology and innovation. His work at Intel has allowed him to collaborate with some of the brightest minds in the industry, further enhancing his contributions to the field.
Collaborations
One of his notable coworkers is Mohammad R Haghighat. Together, they work on advancing technologies that leverage machine learning and data science.
Conclusion
Mikhail Averbukh is a prominent figure in the realm of technology, particularly known for his innovative approaches to random forest algorithms. His contributions are paving the way for future advancements in machine learning and data analysis.