Shaolin Hu

Title: Innovations and Contributions of Inventor Shaolin Hu

Introduction

Shaolin Hu is a notable inventor based in Maoming, China. He has made significant contributions to the field of machine learning and big data analysis. With a total of four patents to his name, Hu's work focuses on improving the efficiency and effectiveness of data processing methods.

Latest Patents

One of Hu's latest patents is titled "Passive outlier-tolerant and active outlier-tolerant learning method with abnormal samples and system thereof." This patent describes a method that enhances 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 testing the model using an outlier-corrected test set. This innovative approach aims to improve both passive and active outlier tolerance in machine learning.

Another significant patent by Hu is the "Autonomous mining method of industrial big data based on model sets." This method outlines a process for automating the mining of big data by building model sets and a mining engine based on domain knowledge. The method includes data sampling, mining data sets, and performing goodness-of-fit statistics calculations. This innovation facilitates the integration of associated knowledge and optimizes mining results.

Career Highlights

Shaolin Hu is affiliated with the Guangdong University of Petrochemical Technology, where he contributes to research and development in his field. His academic background and expertise have