Feature selection for label distribution learning via feature similarity and label correlation

Mutual information-based label distribution feature selection for multi-label learning

(2020) Wenbin Qian et al.   KNOWLEDGE-BASED SYSTEMS

Least Loss: A simplified filter method for feature selection

(2020) Fadi Thabtah et al.   INFORMATION SCIENCES

Robust multi-label feature selection with dual-graph regularization

(2020) Juncheng Hu et al.   KNOWLEDGE-BASED SYSTEMS

Incomplete label distribution learning based on supervised neighborhood information

(2019) Xue-Qiang Zeng et al.   International Journal of Machine Learning and Cybernetics

Deep neural network for hierarchical extreme multi-label text classification

(2019) Francesco Gargiulo et al.   APPLIED SOFT COMPUTING

Distinguishing two types of labels for multi-label feature selection

(2019) Ping Zhang et al.   PATTERN RECOGNITION

Manifold regularized discriminative feature selection for multi-label learning

(2019) Jia Zhang et al.   PATTERN RECOGNITION

Large-scale multi-label classification using unknown streaming images

(2019) Yu Zhang et al.   PATTERN RECOGNITION

Learning from Ambiguously Labeled Face Images

(2018) Ching-Hui Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-label feature selection with missing labels

(2018) Pengfei Zhu et al.   PATTERN RECOGNITION

Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

(2018) Ronghua Shang et al.   IEEE Transactions on Cybernetics

Fast Multi-Instance Multi-Label Learning

(2018)   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Manifold-based constraint Laplacian score for multi-label feature selection

(2018) Rui Huang et al.   PATTERN RECOGNITION LETTERS

Soft video parsing by label distribution learning

(2018) Miaogen Ling et al.   Frontiers of Computer Science

Data-Dependent Label Distribution Learning for Age Estimation

(2017) Zhouzhou He et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Label Distribution Learning With Label Ambiguity

(2017) Bin-Bin Gao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Label Distribution Learning

(2016) Xin Geng   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Memetic feature selection algorithm for multi-label classification

(2015) Jaesung Lee et al.   INFORMATION SCIENCES

Learning shared subspace for multi-label dimensionality reduction via dependence maximization

(2015) Xin Shu et al.   NEUROCOMPUTING

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

(2015) Yaojin Lin et al.   NEUROCOMPUTING

Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

(2015) Oscar Reyes et al.   NEUROCOMPUTING

Speeding up incremental wrapper feature subset selection with Naive Bayes classifier

(2013) Pablo Bermejo et al.   KNOWLEDGE-BASED SYSTEMS

Predicting Protein Function by Multi-Label Correlated Semi-Supervised Learning

(2011) J. Q. Jiang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Multilabel dimensionality reduction via dependence maximization

(2010) Yin Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Feature selection for multi-label naive Bayes classification

(2009) Min-Ling Zhang et al.   INFORMATION SCIENCES