Ye Ke

Title: Innovations and Contributions of Inventor Ye Ke

Introduction

Ye Ke is a notable inventor based in Maoming, China, recognized for his significant contributions to the field of machine learning and big data analysis. With a total of four patents to his name, Ye Ke has developed innovative methods that enhance the efficiency and effectiveness of data processing.

Latest Patents

One of Ye Ke's latest patents is titled "Passive outlier-tolerant and active outlier-tolerant learning method with abnormal samples and system thereof." This invention focuses on improving the tolerance of machine learning processes to abnormal samples. The method involves several steps, including judging the distribution of abnormal samples, training an initial learning model, and processing test sets to obtain a final learning model. This approach aims to enhance both passive and active outlier tolerance in machine learning applications.

Another significant patent is the "Autonomous mining method of industrial big data based on model sets." This method automates the mining process of big data by building model sets and a mining engine based on domain knowledge. It includes steps such as data sampling, mining data sets, and acquiring data model representation. The method optimizes mining results and integrates associated knowledge, making it a valuable contribution to the field of big data analytics.

Career Highlights

Ye Ke is affiliated with the Guangdong University of Petrochemical Technology, where he continues to advance research in machine learning and data mining. His work has garnered attention