Search Results for author: Hengzhe Zhang

Found 4 papers, 3 papers with code

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression

no code implementations • 11 May 2024 • Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang

In recent years, genetic programming (GP)-based evolutionary feature construction has achieved significant success.

regression Symbolic Regression

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SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method

1 code implementation • IEEE Transactions on Evolutionary Computation 2023 • Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang

Ensemble learning methods have been widely used in machine learning in recent years due to their high predictive performance.

Ranked #1 on Penn Machine Learning Benchmark on Real-world Datasets

Ensemble Learning Penn Machine Learning Benchmark +2

127

Paper
Code

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models

1 code implementation • 28 Jun 2022 • Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

The resulting KGs as a symbolic interpretation of the source LMs also reveal new insights into the LMs' knowledge capacities.

Knowledge Graphs

94

Paper
Code

An Evolutionary Forest for Regression

1 code implementation • IEEE Transactions on Evolutionary Computation 2021 • Hengzhe Zhang, Aimin Zhou, Hu Zhang

Random forest (RF) is a type of ensemble-based machine learning method that has been applied to a variety of machine learning tasks in recent years.

Ranked #2 on Penn Machine Learning Benchmark on Real-world Datasets

Penn Machine Learning Benchmark regression

127

Paper
Code

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