4 papers
Informed Machine Learning with Knowledge Landmarks
Chuyi Dai, Witold Pedrycz, Suping Xu +2
Informed Machine Learning has emerged as a viable generalization of Machine Learning (ML) by building a unified conceptual and algorithmic setting for constructing models on a unif…
From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
Suping Xu, Chuyi Dai, Lin Shang +3
Label distribution learning (LDL) is an emerging learning paradigm designed to capture the relative importance of labels for each instance. Label-specific features (LSFs), construc…
SFS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems
Suping Xu, Chuyi Dai, Ye Liu +3
Feature selection is crucial for fuzzy decision systems (FDSs), as it identifies informative features and eliminates rule redundancy, thereby enhancing predictive performance and i…
Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification
Suping Xu, Lin Shang, Keyu Liu +3
Fuzzy rough feature selection (FRFS) is an effective means of addressing the curse of dimensionality in high-dimensional data. By removing redundant and irrelevant features, FRFS h…