A unified low-order information-theoretic feature selection framework for multi-label learning

R2CI: Information theoretic-guided feature selection with multiple correlations

(2022) Jihong Wan et al.   PATTERN RECOGNITION

Multi-label feature selection method based on dynamic weight

(2022) Ping Zhang et al.   SOFT COMPUTING

Feature-specific mutual information variation for multi-label feature selection

(2022) Liang Hu et al.   INFORMATION SCIENCES

Internet Financing Credit Risk Evaluation Using Multiple Structural Interacting Elastic Net Feature Selection

(2021) Lixin Cui et al.   PATTERN RECOGNITION

Multi-label feature selection considering label supplementation

(2021) Ping Zhang et al.   PATTERN RECOGNITION

Zero-shot learning via a specific rank-controlled semantic autoencoder

(2021) Yang Liu et al.   PATTERN RECOGNITION

Fused lasso for feature selection using structural information

(2021) Lixin Cui et al.   PATTERN RECOGNITION

Multilabel Feature Selection With Constrained Latent Structure Shared Term

(2021) Wanfu Gao et al.   IEEE Transactions on Neural Networks and Learning Systems

Feature selection for multi-label learning with streaming label

(2020) Jinghua Liu et al.   NEUROCOMPUTING

Multi-label feature selection with shared common mode

(2020) Liang Hu et al.   PATTERN RECOGNITION

Distributed multi-label feature selection using individual mutual information measures

(2019) Jorge Gonzalez-Lopez et al.   KNOWLEDGE-BASED SYSTEMS

Distinguishing two types of labels for multi-label feature selection

(2019) Ping Zhang et al.   PATTERN RECOGNITION

Multi-Source Causal Feature Selection

(2019) Kui Yu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SVM based multi-label learning with missing labels for image annotation

(2018) Yang Liu et al.   PATTERN RECOGNITION

MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection

(2018) Zisheng Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information

(2017) Yaojin Lin et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A Non-Greedy Algorithm for L1-Norm LDA

(2017) Yang Liu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Joint hypergraph learning and sparse regression for feature selection

(2017) Zhihong Zhang et al.   PATTERN RECOGNITION

SCLS: Multi-label feature selection based on scalable criterion for large label set

(2017) Jaesung Lee et al.   PATTERN RECOGNITION

Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters

(2016) Yifeng Li et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Mutual Information-based multi-label feature selection using interaction information

(2015) Jaesung Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Memetic feature selection algorithm for multi-label classification

(2015) Jaesung Lee et al.   INFORMATION SCIENCES

Multi-label feature selection based on max-dependency and min-redundancy

(2015) Yaojin Lin et al.   NEUROCOMPUTING

Feature selection for multi-label classification using multivariate mutual information

(2012) Jaesung Lee et al.   PATTERN RECOGNITION LETTERS