:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Yanyong, Cai, Yuxin, Wang, Dongjie, Yi, Xiuwen, Li, Tianrui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2412.06568
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TRUST-FS: Tensorized Reliable Unsupervised Multi-View Feature Selection for Incomplete Data
by: Lu, Minghui, et al.
Published: (2025)

Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation
by: Cai, Yuxin, et al.
Published: (2025)

Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
by: Yang, Li, et al.
Published: (2024)

Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning
by: Tan, Yalan, et al.
Published: (2026)

Causally-Aware Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2024)

Structure-aware Hybrid-order Similarity Learning for Multi-view Unsupervised Feature Selection
by: Xu, Lin, et al.
Published: (2025)

Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2025)

Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection
by: Shen, Zongxin, et al.
Published: (2025)

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
by: Huang, Yanyong, et al.
Published: (2024)

Feature Selection as Deep Sequential Generative Learning
by: Ying, Wangyang, et al.
Published: (2024)

Iterative Feature Space Optimization through Incremental Adaptive Evaluation
by: Wu, Yanping, et al.
Published: (2025)

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
by: Gong, Nanxu, et al.
Published: (2024)

Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)

Open Continual Feature Selection via Granular-Ball Knowledge Transfer
by: Cao, Xuemei, et al.
Published: (2024)

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
by: Zhong, Yan, et al.
Published: (2025)

Bi-Sparse Unsupervised Feature Selection
by: Xiu, Xianchao, et al.
Published: (2024)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
by: Liang, Chen, et al.
Published: (2023)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
by: Huang, Xiaohan, et al.
Published: (2025)

Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
by: Liu, Rui, et al.
Published: (2025)

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
by: Chidambaram, Muthu, et al.
Published: (2022)

SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection
by: Peng, Cheng, et al.
Published: (2026)

BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation
by: Yu, Dongjie, et al.
Published: (2024)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)

Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
by: Zhang, Canlin, et al.
Published: (2023)

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
by: Wang, Xinyuan, et al.
Published: (2024)

Unlocking air traffic flow prediction through microscopic aircraft-state modeling
by: Wang, Bin, et al.
Published: (2026)

Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
by: Xiu, Xianchao, et al.
Published: (2025)

Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
by: Yu, Feng, et al.
Published: (2025)

Unsupervised Feature Selection Through Group Discovery
by: Lifshitz, Shira, et al.
Published: (2025)

Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
by: von Kügelgen, Julius
Published: (2024)

GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
by: Sun, Yundong, et al.
Published: (2024)

Reinforcement Feature Transformation for Polymer Property Performance Prediction
by: Hu, Xuanming, et al.
Published: (2024)

MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling
by: Kong, Kaichuan, et al.
Published: (2026)

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
by: Hao, Pingting, et al.
Published: (2025)

Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
by: Qin, Huaiyuan, et al.
Published: (2025)

Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
by: Liu, Yuzhou, et al.
Published: (2025)

Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning
by: Azim, Ehtesamul, et al.
Published: (2025)

Multi-Objective Genetic Algorithm for Multi-View Feature Selection
by: Imani, Vandad, et al.
Published: (2023)