Pages that link to "Item:Q1726344"
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The following pages link to Pseudo-label neighborhood rough set: measures and attribute reductions (Q1726344):
Displaying 34 items.
- Attribute group for attribute reduction (Q2023210) (← links)
- Local temporal-spatial multi-granularity learning for sequential three-way granular computing (Q2053818) (← links)
- Random sampling accelerator for attribute reduction (Q2069052) (← links)
- GLRM: logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy (Q2077014) (← links)
- Variable radius neighborhood rough sets and attribute reduction (Q2092448) (← links)
- A computational formulation of distribution reducts in probabilistic rough set models (Q2153615) (← links)
- Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization (Q2169183) (← links)
- A fast neighborhood classifier based on hash bucket with application to medical diagnosis (Q2169190) (← links)
- Double-quantitative variable consistency dominance-based rough set approach (Q2206421) (← links)
- Ensemble-based neighborhood attribute reduction: a multigranularity view (Q2280247) (← links)
- Pseudolabel decision-theoretic rough set (Q2298701) (← links)
- Accelerator for supervised neighborhood based attribute reduction (Q2300454) (← links)
- Six-set approximation theorem of neighborhood related rough sets (Q2302816) (← links)
- Discernibility matrix based incremental feature selection on fused decision tables (Q2302950) (← links)
- Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes (Q2310285) (← links)
- Topological operators of MW-topological rough approximations (Q2310295) (← links)
- A three-way decision model based on cumulative prospect theory (Q2660953) (← links)
- A multilevel neighborhood sequential decision approach of three-way granular computing (Q2666754) (← links)
- Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach (Q2677862) (← links)
- Topological structures induced by L-fuzzifying approximation operators (Q5084178) (← links)
- Attribute reduction with personalized information granularity of nearest mutual neighbors (Q6125210) (← links)
- Incremental rough reduction with stable attribute group (Q6125444) (← links)
- Three-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extension (Q6154795) (← links)
- Measurement, modeling, reduction of decision-theoretic multigranulation fuzzy rough sets based on three-way decisions (Q6155114) (← links)
- Semi-supervised attribute reduction for partially labeled categorical data based on predicted label (Q6157221) (← links)
- Bi-directional adaptive neighborhood rough sets based attribute subset selection (Q6178711) (← links)
- Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets (Q6179979) (← links)
- Granular cabin: an efficient solution to neighborhood learning in big data (Q6188177) (← links)
- Attribute reduction for hybrid data based on statistical distribution of data and fuzzy evidence theory (Q6495118) (← links)
- Feature selection of dominance-based neighborhood rough set approach for processing hybrid ordered data (Q6548458) (← links)
- A novel approach to discretizing information systems associated with neighborhood rough sets (Q6570284) (← links)
- Incremental reduction of imbalanced distributed mixed data based on \(k\)-nearest neighbor rough set (Q6596683) (← links)
- Neighborhood margin rough set: self-tuning neighborhood threshold (Q6638836) (← links)
- Optimal scale combination selection in generalized multi-scale hybrid decision systems (Q6658954) (← links)
