Pages that link to "Item:Q2237512"
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The following pages link to Rough set-based feature selection for weakly labeled data (Q2237512):
Displaying 14 items.
- Local rough set: a solution to rough data analysis in big data (Q1647855) (← links)
- Ground truthing from multi-rater labeling with three-way decision and possibility theory (Q2054058) (← links)
- Belief functions and rough sets: survey and new insights (Q2077024) (← links)
- Label distribution feature selection for multi-label classification with rough set (Q2658023) (← links)
- Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach (Q2677862) (← links)
- Semi-supervised feature selection based on fuzzy related family (Q6059595) (← links)
- Variable precision multi-granulation composite rough sets with multi-decision and their applications to medical diagnosis (Q6125199) (← links)
- Granular approximations: a novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation (Q6127117) (← links)
- Optimal granularity selection based on algorithm stability with application to attribute reduction in rough set theory (Q6151917) (← links)
- Semi-supervised attribute reduction for partially labeled categorical data based on predicted label (Q6157221) (← links)
- Partially-defined equivalence relations: relationship with orthopartitions and connection to rough sets (Q6179976) (← links)
- Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory (Q6485336) (← links)
- Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets (Q6570325) (← links)
- An attribute ranking method based on rough sets and interval-valued fuzzy sets (Q6577646) (← links)