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Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 卷号: 15, 期号: 3, 页码: 944-953
Authors:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
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Sparse logistic regression  network-regularized penalty  survival risk prediction  feature selection  
Model-free feature screening for ultrahigh-dimensional data conditional on some variables 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2018, 卷号: 70, 期号: 2, 页码: 283-301
Authors:  Liu, Yi;  Wang, Qihua
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Conditional distance correlation  Feature selection  Sure screening property  High-dimensional data  
LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 11, 页码: 5257-5269
Authors:  Yao, Chao;  Liu, Ya-Feng;  Jiang, Bo;  Han, Jungong;  Han, Junwei
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Unsupervised learning  feature selection  manifold learning  image recognition  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
Authors:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
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Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining  
Text classification based on multi-word with support vector machine 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2008, 卷号: 21, 期号: 8, 页码: 879-886
Authors:  Zhang, Wen;  Yoshida, Taketoshi;  Tang, Xijin
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Text classification  Multi-word  Feature selection  Information gain  Support vector machine