1.2k citations · 1.7k across the 17 of their papers we have counts for
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Towards Efficient Local Causal Structure Learning
Shuai Yang, Hao Wang, Kui Yu +2
Local causal structure learning aims to discover and distinguish direct causes (parents) and direct effects (children) of a variable of interest from data. While emerging successes…
Causality-based Feature Selection: Methods and Evaluations
Kui Yu, Xianjie Guo, Lin Liu +4
Feature selection is a crucial preprocessing step in data analytics and machine learning. Classical feature selection algorithms select features based on the correlations between p…
NESVM: a Fast Gradient Method for Support Vector Machines
Tianyi Zhou, Dacheng Tao, Xindong Wu
Support vector machines (SVMs) are invaluable tools for many practical applications in artificial intelligence, e.g., classification and event recognition. However, popular SVM sol…
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Tianyi Zhou, Dacheng Tao, Xindong Wu
It is difficult to find the optimal sparse solution of a manifold learning based dimensionality reduction algorithm. The lasso or the elastic net penalized manifold learning based…