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Publications by Gui-Bo Ye

Learning Sparse Gradients for Variable Selection and Dimension Reduction

Machine Learning

Artificial Intelligence

English

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Comments On: Probability Enhanced Effective Dimension Reduction for Classifying Sparse Functional Data

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Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection

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Corrigendum to “Probing for Sparse and Fast Variable Selection With Model-Based Boosting”

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Limited Rank Matrix Learning, Discriminative Dimension Reduction and Visualization

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Improved Manifold Learning Algorithm for Data Dimension Reduction Based on KNN

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Sparse Nonlinear Feature Selection Algorithm via Local Structure Learning

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Study on Large Data Dimension Reduction Method for Line Selection in Distribution Network

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Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model

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Variable Selection for Sparse High-Dimensional Nonlinear Regression Models by Combining Nonnegative Garrote and Sure Independence Screening

Statistica Sinica

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