Yu, Lei - Department of Computer Science, State University of New York at Binghamton

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Yu, Lei - Department of Computer Science, State University of New York at Binghamton

Dimensionality Reduction for Data Mining -Techniques, Applications and Trends
Efficiently Handling Feature Redundancy in High-Dimensional Data
Artificial Intelligence 159 (2004) 4974 www.elsevier.com/locate/artint
Journal of Machine Learning Research 5 (2004) 12051224 Submitted 1/04; Revised 5/04; Published 10/04 Efficient Feature Selection via Analysis of
Stable and Accurate Feature Selection Gokhan Gulgezen , Zehra Cataltepe , and Lei Yu
Kernel-based Transductive Learning with Nearest Neighbors
Stable Feature Selection via Dense Feature Groups Department of Computer
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
A Variance Reduction Framework for Stable Feature Selection Yue Han, Lei Yu
Redundancy Based Feature Selection for Microarray Data Department of Computer Science & Engineering
Toward Integrating Feature Selection Algorithms for Classification and Clustering
Consensus Group Stable Feature Selection Steven Loscalzo