Pages that link to "Item:Q942332"

The following pages link to Neighborhood rough set based heterogeneous feature subset selection (Q942332):

Displaying 50 items.

• Novel rough set theory-based method for epistemic uncertainty modeling, analysis and applications (Q2110855) (← links)
• A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets (Q2128888) (← links)
• A novel granular computing model based on three-way decision (Q2128895) (← links)
• Generic extended multigranular sets for mixed and incomplete information systems (Q2152944) (← links)
• Attribute reduction for multi-label classification based on labels of positive region (Q2156546) (← links)
• A fast neighborhood classifier based on hash bucket with application to medical diagnosis (Q2169190) (← links)
• Attribute reduction based on D-S evidence theory in a hybrid information system (Q2169197) (← links)
• A comparison study of similarity measures for covering-based neighborhood classifiers (Q2195335) (← links)
• Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures (Q2206473) (← links)
• Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification (Q2224860) (← links)
• Three-way recommendation model based on shadowed set with uncertainty invariance (Q2237200) (← links)
• Cost-sensitive rough set approach (Q2279541) (← links)
• Ensemble-based neighborhood attribute reduction: a multigranularity view (Q2280247) (← links)
• A novel attribute reduction approach for multi-label data based on rough set theory (Q2282044) (← links)
• Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values (Q2291781) (← links)
• Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method (Q2291782) (← links)
• Accelerator for supervised neighborhood based attribute reduction (Q2300454) (← links)
• Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes (Q2310285) (← links)
• Neighborhood granules and rough rule-base in tracking (Q2311233) (← links)
• Maximal similarity granular rough sets for mixed and incomplete information systems (Q2318264) (← links)
• Kernel neighborhood rough sets model and its application (Q2325078) (← links)
• Four matroidal structures of covering and their relationships with rough sets (Q2353956) (← links)
• Neighborhood rough sets based multi-label classification for automatic image annotation (Q2353957) (← links)
• Equivalent characterizations of some graph problems by covering-based rough sets (Q2375570) (← links)
• Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model (Q2403458) (← links)
• Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy (Q2416976) (← links)
• Feature genes selection using fuzzy rough uncertainty metric for tumor diagnosis (Q2632308) (← links)
• A neighborhood rough set model with nominal metric embedding (Q2660988) (← links)
• NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory (Q2666807) (← links)
• Granular regression with a gradient descent method (Q2666818) (← links)
• Object similarity measures and Pawlak's indiscernibility on decision tables (Q2666859) (← links)
• Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach (Q2677862) (← links)
• A feature subset selection algorithm for incomplete decision systems based on neighborhood rough sets (Q2886041) (← links)
• An Incremental Learning Approach for Updating Approximations in Rough Set Model Over Dual-Universes (Q2940961) (← links)
• New topological approach of rough set generalizations (Q3008346) (← links)
• Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection (Q3143114) (← links)
• Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction (Q3300355) (← links)
• Stable attribute reduction for neighborhood rough set (Q5024616) (← links)
• (Q5084186) (← links)
• A New Description of Transversal Matroids Through Rough Set Approach (Q5164865) (← links)
• Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning (Q5245180) (← links)
• Multi-label feature selection based on rough granular-ball and label distribution (Q6058303) (← links)
• Fuzzy granular convolutional classifiers (Q6081519) (← links)
• Automated granule discovery in continuous data for feature selection (Q6089959) (← 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)
• Improved evolutionary-based feature selection technique using extension of knowledge based on the rough approximations (Q6118637) (← links)
• Three-way sampling for rapid attribute reduction (Q6122189) (← links)
• An improved decision tree algorithm based on variable precision neighborhood similarity (Q6125195) (← links)
• Variable precision multi-granulation composite rough sets with multi-decision and their applications to medical diagnosis (Q6125199) (← links)