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Rethinking Multi-Label Feature Selection Via Adaptive Skeleton Construction

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Heat Kernel Method and its Applications
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Feature Selection for Multi-label Classification Problems
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Label correlations variation for robust multi-label feature selection
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Feature relevance and redundancy coefficients for multi-view multi-label feature selection
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Distributed multi-label feature selection using individual mutual information measures
inferredcites →https://doi.org/10.1016/j.neucom.2015.06.010openalex-snapshot
Multi-label feature selection based on max-dependency and min-redundancy
inferredcites →https://doi.org/10.1016/j.patcog.2021.108169openalex-snapshot
Manifold learning with structured subspace for multi-label feature selection
inferredcites →https://doi.org/10.1016/j.patcog.2022.109074openalex-snapshot
Multi-label feature selection via robust flexible sparse regularization
inferredcites →https://doi.org/10.1109/access.2020.3015755openalex-snapshot
Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection
inferredcites →https://doi.org/10.1109/tai.2021.3105084openalex-snapshot
Preserving Similarity and Staring Decisis for Feature Selection
inferredcites →https://doi.org/10.1109/tcyb.2020.2982445openalex-snapshot
A Survey on Sparse Learning Models for Feature Selection
inferredcites →https://doi.org/10.1109/tevc.2023.3292527openalex-snapshot
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges
inferredcites →https://doi.org/10.1109/tip.2023.3234497openalex-snapshot
Unsupervised Adaptive Feature Selection With Binary Hashing
inferredcites →https://doi.org/10.1109/tkde.2013.39openalex-snapshot
A Review on Multi-Label Learning Algorithms
inferredcites →https://doi.org/10.1109/tkde.2019.2940014openalex-snapshot
A Review on Dimensionality Reduction for Multi-label Classification
inferredcites →https://doi.org/10.1109/tkde.2022.3151315openalex-snapshot
Semi-supervised Learning via Bipartite Graph Construction with Adaptive Neighbors
inferredcites →https://doi.org/10.1109/tkde.2023.3265015openalex-snapshot
Adaptive Skeleton Construction for Accurate DAG Learning
inferredcites →https://doi.org/10.1109/tnnls.2016.2551724openalex-snapshot
Feature Selection Based on Structured Sparsity: A Comprehensive Study
inferredcites →https://doi.org/10.1109/tnnls.2017.2673241openalex-snapshot
Efficient kNN Classification With Different Numbers of Nearest Neighbors
inferredcites →https://doi.org/10.1109/tnnls.2021.3105142openalex-snapshot
Multilabel Feature Selection With Constrained Latent Structure Shared Term
inferredcites →https://doi.org/10.1109/tnnls.2021.3111288openalex-snapshot
Multilabel Feature Selection: A Local Causal Structure Learning Approach
inferredcites →https://doi.org/10.1109/tpami.2021.3073587openalex-snapshot
Adaptive Neighborhood Metric Learning
inferredcites →https://doi.org/10.1109/tpami.2021.3119334openalex-snapshot
The Emerging Trends of Multi-Label Learning
inferredcites →https://doi.org/10.1145/2623330.2623726openalex-snapshot
Clustering and projected clustering with adaptive neighbors
inferredcites →https://doi.org/10.1145/3136625openalex-snapshot
Feature Selection
inferredcites →https://doi.org/10.1145/3409382openalex-snapshot
Causality-based Feature Selection
inferredcites →https://doi.org/10.1145/3604560openalex-snapshot
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation
inferredcites →https://doi.org/10.1609/aaai.v34i04.6075openalex-snapshot
Robust Self-Weighted Multi-View Projection Clustering
inferredcites →https://doi.org/10.1609/aaai.v37i9.26258openalex-snapshot
Efficient Top-K Feature Selection Using Coordinate Descent Method
inferredcites →https://doi.org/10.48550/arxiv.1911.07147openalex-snapshot
Causality-based Feature Selection: Methods and Evaluations
inferredcites →https://doi.org/10.5555/1953048.2021078openalex-snapshot
MULAN: A Java Library for Multi-Label Learning
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