Pages that link to "Item:Q2224860"

The following pages link to Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification (Q2224860):

Displaying 31 items.

• Fuzzy-rough attribute reduction via mutual information with an application to cancer classification (Q971586) (← links)
• Incremental three-way neighborhood approach for dynamic incomplete hybrid data (Q2053820) (← links)
• Incremental approaches for heterogeneous feature selection in dynamic ordered data (Q2053841) (← links)
• Variable radius neighborhood rough sets and attribute reduction (Q2092448) (← links)
• Incrementally updating approximations based on the graded tolerance relation in incomplete information tables (Q2153648) (← links)
• Three-way decision models based on multigranulation support intuitionistic fuzzy rough sets (Q2206439) (← links)
• Strategy selection under entropy measures in movement-based three-way decision (Q2300461) (← links)
• Quantitative three-way class-specific attribute reducts based on region preservations (Q2302946) (← links)
• Attribute reduction with fuzzy rough self-information measures (Q2666770) (← links)
• NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory (Q2666807) (← links)
• Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems (Q2666834) (← links)
• Two-stage feature selection for classification of gene expression data based on an improved salp swarm algorithm (Q2694136) (← links)
• Effective dimensionality reduction using kernel locality preserving partial least squares discriminant analysis (Q2699576) (← links)
• The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification (Q3521196) (← links)
• Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation (Q6064525) (← links)
• Feature selection based on label distribution and fuzzy mutual information (Q6065965) (← links)
• Double-local rough sets for efficient data mining (Q6092076) (← links)
• Information-theoretic partially labeled heterogeneous feature selection based on neighborhood rough sets (Q6099387) (← links)
• Gaussian kernel based gene selection in a single cell gene decision space (Q6122298) (← links)
• Attribute reduction with personalized information granularity of nearest mutual neighbors (Q6125210) (← links)
• AFNFS: adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data (Q6125240) (← links)
• Attribute reduction based on fusion information entropy (Q6178700) (← links)
• Bi-directional adaptive neighborhood rough sets based attribute subset selection (Q6178711) (← links)
• Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systems (Q6179967) (← links)
• Granular cabin: an efficient solution to neighborhood learning in big data (Q6188177) (← links)
• Attribute reduction based on overlap degree and \(k\)-nearest-neighbor rough sets in decision information systems (Q6188196) (← links)
• A soft neighborhood rough set model and its applications (Q6494615) (← links)
• A novel multi-label feature selection method based on knowledge consistency-independence index (Q6564922) (← links)
• Attribute reduction using self-information uncertainty measures in optimistic neighborhood extreme-granulation rough set (Q6608317) (← links)
• Neighborhood margin rough set: self-tuning neighborhood threshold (Q6638836) (← links)
• Optimal scale combination selection in generalized multi-scale hybrid decision systems (Q6658954) (← links)