Li Hao

Title: Innovations of Li Hao in Automated Modeling Systems

Introduction

Li Hao is an accomplished inventor based in Mesa, Arkansas, known for his contributions to the field of machine learning and automated modeling systems. With a focus on transforming attributes for training these systems, he has developed innovative methods that enhance predictive analytics.

Latest Patents

Li Hao holds a patent titled "Transforming attributes for training automated modeling systems." This patent describes a machine-learning model capable of transforming input attribute values into predictive or analytical output values. The model can be trained using training data grouped into attributes, allowing for the selection of a subset of attributes that are transformed into a new dataset for training. The transformation process includes grouping portions of the training data into multi-dimensional bins, where each dimension corresponds to a selected attribute. Additionally, the model computes interim predictive output values and applies a smoothing function to generate smoothed interim output values, which are then outputted as a dataset for the transformed attribute.

Career Highlights

Li Hao is currently employed at Equifax Inc., where he continues to innovate in the field of data analytics and machine learning. His work has significantly contributed to the advancement of automated modeling systems, making them more efficient and effective in processing data.

Collaborations

Li Hao collaborates with talented professionals such as Trevis J Litherland and Rajkumar Bondugula, who contribute to the development and implementation of innovative solutions in their projects.

Conclusion

Li Hao's work in transforming attributes for training automated modeling systems showcases his expertise and commitment to advancing machine learning technologies. His contributions are paving the way for more effective predictive analytics in various applications.